[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: realize
Target surface form: realize
Context:
Although it was initially MathML oriented it can now be used by everyone with little mathematical knowledge. Here's a screenshot of kalgebra main window kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to <t>realize</t> that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone.

Candidate senses:
1. sense_key=realize%2:31:01:: | definition=be fully aware or cognizant of | synonyms=recognize, recognise, realise, agnize, agnise
2. sense_key=realize%2:31:00:: | definition=perceive (an idea or situation) mentally | synonyms=understand, realise, see | examples=Now I see!; I just can't see your point
3. sense_key=realize%2:36:00:: | definition=make real or concrete; give reality or substance to | synonyms=realise, actualize, actualise, substantiate | examples=our ideas must be substantiated into actions
4. sense_key=realize%2:40:01:: | definition=earn on some commercial or business transaction; earn as salary or wages | synonyms=gain, take in, clear, make, earn, realise | examples=How much do you make a month in your new job?; She earns a lot in her new job
5. sense_key=realize%2:40:00:: | definition=convert into cash; of goods and property | synonyms=realise
6. sense_key=realize%2:36:07:: | definition=expand or complete (a part in a piece of baroque music) by supplying the harmonies indicated in the figured bass | synonyms=realise

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
1.  **Analyze the Target Lemma and Surface Form:**
    *   Lemma: realize
    *   Surface form: realize
    *   Context: A description of the software Kalgebra. The specific sentence is: "If we want to understand how it works, the best thing we can do is to <t>realize</t> that our input is being converted into MathML..."

2.  **Analyze the Context:**
    *   The sentence structure is "to realize that [clause]".
    *   The meaning here is about grasping a fact or becoming aware of a process. The author is suggesting that the user should become aware of a specific underlying mechanism (input converted to MathML) to understand the software better.
    *   It implies a mental shift from ignorance to awareness.

3.  **Analyze the Candidate Senses:**

    *   **Sense 1:** `realize%2:31:01::` | definition="be fully aware or cognizant of" | synonyms="recognize, recognise, realise, agnize, agnise".
        *   *Fit:* This fits "be aware of a fact". The construction "realize that..." is very common here. It emphasizes the state of awareness.

    *   **Sense 2:** `realize%2:31:00::` | definition="perceive (an idea or situation) mentally" | synonyms="understand, realise, see" | examples="Now I see!; I just can't see your point".
        *   *Fit:* This is also very close. It focuses on the mental act of perceiving or understanding.
        *   *Comparison (1 vs 2):* Sense 1 ("be fully aware or cognizant of") often implies a specific moment of grasping a fact that was previously unknown (an "aha" moment or realization of a specific truth). Sense 2 ("perceive mentally", "understand") is broader.
        *   Let's look at the specific sentence: "...the best thing we can do is to realize that our input is being converted..."
        *   Is it "becoming aware of a fact" (Sense 1) or "understanding a concept" (Sense 2)?
        *   WordNet often distinguishes between "understanding" broadly and "realizing" specifically as becoming aware of a fact. The synonym "recognize" in Sense 1 fits well with acknowledging a specific truth ("realizing that X is Y"). The synonyms in Sense 2 are "understand" and "see".
        *   In this context, the user needs to *grasp* or *become aware* of the fact that conversion is happening. This aligns strongly with Sense 1. The structure "realize that" is prototypical for the "become aware" meaning.
        *   However, Sense 2 examples are "Now I see!", "I can't see your point". These relate to comprehension. The context sentence starts with "If we want to **understand** how it works...". This might push towards Sense 2 (synonym: understand).
        *   Let's check the fine distinctions in WordNet.
        *   Sense 1 (2:31:01): "be fully aware or cognizant of". Often used for facts. "I realized I left the stove on."
        *   Sense 2 (2:31:00): "perceive (an idea or situation) mentally". Often overlaps with "understand".
        *   In the text, "realize that our input is being converted" is realizing a specific mechanism/fact.
        *   Usually, WordNet sense 1 (realize%2:31:01) is the standard sense for "realize that [fact]". Sense 2 (realize%2:31:00) often corresponds to a slightly more abstract "understanding".
        *   Let's look at the synonyms for Sense 1: `recognize`. "Recognize that our input is being converted" makes sense.
        *   Let's look at the synonyms for Sense 2: `see`, `understand`. "Understand that our input is being converted" also makes sense.
        *   Let's check standard dictionaries/WSD datasets behavior.
        *   In WordNet, 2:31:01 (cognizant) vs 2:31:00 (perceive mentally).
        *   Often, "realize" in the sense of "I realized I was wrong" is Sense 1.
        *   "Realize" in the sense of "Do you realize the implications?" is Sense 1.
        *   Sense 2 is less common for the specific verb "realize" in the "realize that..." construction in some annotations, or they are treated as extremely close.
        *   Let's look at the synonym overlap. Sense 2 has "understand". The previous sentence says "If we want to **understand** how it works...". This repetition of meaning suggests the author is using "realize" to mean "understand/grasp".
        *   However, "realize that..." usually triggers the "become aware" (Sense 1) or "understand" (Sense 2) distinction.
        *   Let's look at the definitions again.
        *   Sense 1: "be fully aware or cognizant of".
        *   Sense 2: "perceive (an idea or situation) mentally".
        *   The distinction is subtle. Sense 1 emphasizes *awareness* (knowing the fact). Sense 2 emphasizes *comprehension* (mental perception).
        *   The sentence says "realize **that**...". This is a factive complement.
        *   Standard usage: "He realized that he had left his wallet." -> Awareness of a fact (Sense 1).
        *   "He didn't realize the complexity." -> Awareness (Sense 1).
        *   Sense 2 ("perceive mentally") examples "Now I see!" usually imply a flash of understanding of a situation or idea, often metaphorical seeing.
        *   Let's check the key `2:31:01` vs `2:31:00`.
        *   In SemCor/OMSTI mapping:
            *   "She realized that she had left..." -> usually mapped to the "aware/cognizant" sense (Sense 1).
            *   "I didn't realize..." -> Sense 1.
        *   Therefore, Sense 1 is the strongest candidate for "realize that [proposition]".

    *   **Sense 3:** `realize%2:36:00::` | definition="make real or concrete..." | synonyms="actualize".
        *   *Fit:* No. Not about making something happen.

    *   **Sense 4:** `realize%2:40:01::` | definition="earn on some commercial..." | synonyms="earn".
        *   *Fit:* No. Financial context.

    *   **Sense 5:** `realize%2:40:00::` | definition="convert into cash...".
        *   *Fit:* No. Financial context.

    *   **Sense 6:** `realize%2:36:07::` | definition="expand or complete (a part in baroque music)...".
        *   *Fit:* No. Music context.

4.  **Final Decision between Sense 1 and Sense 2:**
    *   Context: "...best thing we can do is to **realize that** our input is being converted..."
    *   This is a realization of a fact.
    *   Sense 1 definition: "be fully aware or cognizant of".
    *   Sense 2 definition: "perceive (an idea or situation) mentally".
    *   Sense 2 examples: "Now I see!", "I just can't see your point".
    *   The examples for Sense 2 lean towards "seeing/understanding" a point or situation.
    *   The construction "realize that [fact]" is the hallmark of Sense 1 (becoming aware of a fact).
    *   If the text said "realize the implications", it might be ambiguous. But "realize that our input is being converted" is awareness of a specific process/fact.
    *   Therefore, Sense 1 is the best fit.

    *   Let's double check Sense 2 synonyms: `understand`. The context uses "understand how it works" earlier. Does this imply Sense 2?
    *   "If we want to *understand* (A) how it works... we need to *realize* (B) that..."
    *   (B) is a necessary step to achieve (A). You become aware of the conversion process (B) to reach the goal of understanding the whole system (A).
    *   Realizing a specific fact ("that our input...") aligns best with "be fully aware of" (Sense 1).
    *   Sense 2 "perceive mentally" is often used for "understanding" concepts. The specific complement "that [clause]" usually points to the awareness sense in WordNet hierarchies (2:31:01).

    *   Let's verify with the Synonyms for Sense 1: "recognize". "The best thing we can do is to *recognize* that our input is being converted." This works perfectly.
    *   Synonyms for Sense 2: "understand". "The best thing we can do is to *understand* that our input is being converted." This works, but "recognize" (Sense 1) captures the "becoming aware of a truth" aspect slightly better than just "understanding".
    *   WordNet 3.0/3.1 distinctions:
        *   Sense 1 (realize%2:31:01): "be fully aware or cognizant of".
        *   Sense 2 (realize%2:31:00): "perceive (an idea or situation) mentally".
        *   Usually, "realize" = "become aware" is the dominant sense for the "that-clause" construction. Sense 2 is often "understand" in a more general sense.
        *   Most WSD systems assign the "awareness" sense to "realize that...".

    *   Decision: Sense 1.


attempt_kind: initial

status: success

[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: convert
Target surface form: converted
Context:
Although it was initially MathML oriented it can now be used by everyone with little mathematical knowledge. Here's a screenshot of kalgebra main window kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being <t>converted</t> into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone.

Candidate senses:
1. sense_key=convert%2:30:00:: | definition=change from one system to another or to a new plan or policy | synonyms=change over | examples=We converted from 220 to 110 Volt
2. sense_key=convert%2:30:03:: | definition=change the nature, purpose, or function of something | examples=convert lead into gold; convert hotels into jails
3. sense_key=convert%2:30:01:: | definition=change religious beliefs, or adopt a religious belief | examples=She converted to Buddhism
4. sense_key=convert%2:30:02:: | definition=exchange or replace with another, usually of the same kind or category | synonyms=change, exchange, commute | examples=Could you convert my dollars into pounds?; He changed his name
5. sense_key=convert%2:30:07:: | definition=cause to adopt a new or different faith | examples=The missionaries converted the Indian population
6. sense_key=convert%2:33:02:: | definition=score an extra point or points after touchdown by kicking the ball through the uprights or advancing the ball into the end zone | examples=Smith converted and his team won
7. sense_key=convert%2:33:01:: | definition=complete successfully | examples=score a penalty shot or free throw
8. sense_key=convert%2:33:00:: | definition=score (a spare)
9. sense_key=convert%2:32:00:: | definition=make (someone) agree, understand, or realize the truth or validity of something | synonyms=win over, convince | examples=He had finally convinced several customers of the advantages of his product
10. sense_key=convert%2:30:09:: | definition=exchange a penalty for a less severe one | synonyms=commute, exchange
11. sense_key=convert%2:30:04:: | definition=change in nature, purpose, or function; undergo a chemical change | examples=The substance converts to an acid

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

raw_output:
```json
{"sense_index": 1}
```

finish_reason: stop

content:
```json
{"sense_index": 1}
```

role: assistant

reasoning_content:
1.  **Analyze the context:**
    *   Target word: "converted" (lemma: "convert").
    *   Sentence: "If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML."
    *   Subject: "our input" (presumably text or mathematical syntax typed by the user).
    *   Object: "into MathML" (a markup language).
    *   Action: Changing the input format into a different format (MathML).

2.  **Analyze the candidate senses:**

    *   **Sense 1:** `change from one system to another or to a new plan or policy`. Examples: "We converted from 220 to 110 Volt". This usually refers to systems, standards, or plans as a whole (like voltage systems, currencies generally, or policies). While MathML is a "system" of sorts, the sentence describes the transformation of specific input data into a specific output format.
    *   **Sense 2:** `change the nature, purpose, or function of something`. Examples: "convert lead into gold", "convert hotels into jails". This focuses on changing the fundamental nature or use. While input becomes MathML, the core meaning here is transcribing or translating data formats.
    *   **Sense 3:** `change religious beliefs...`. Irrelevant.
    *   **Sense 4:** `exchange or replace with another, usually of the same kind or category`. Synonyms: `change, exchange, commute`. Examples: "convert my dollars into pounds". This is about exchanging equivalent values or units. Input string -> MathML string isn't quite an exchange of value like currency, but it's close to a transformation.
    *   **Sense 5:** `cause to adopt a new or different faith`. Irrelevant.
    *   **Sense 6, 7, 8:** Sports metaphors. Irrelevant.
    *   **Sense 9:** `make (someone) agree...`. Irrelevant.
    *   **Sense 10:** `exchange a penalty for a less severe one`. Irrelevant.
    *   **Sense 11:** `change in nature, purpose, or function; undergo a chemical change`. Irrelevant (intransitive use, chemical focus).

    *Let's look closer at Sense 1 vs Sense 2 vs Sense 4.*

    *   **Sense 1** ("change from one system to another") is often used for data conversion or file formats (converting a file from Word to PDF, converting from analog to digital). The example "220 to 110 Volt" is a system change. In computing, "convert" often falls under this broad sense of changing representation systems.
    *   **Sense 2** ("change the nature, purpose, or function") usually implies a more drastic change of state or utility (building to jail, lead to gold).
    *   **Sense 4** ("exchange... of the same kind") usually implies currency or units (dollars to pounds, centimeters to inches).

    Let's re-evaluate WordNet definitions (mental check or search for specific WN mappings). In many WSD systems (like mapping to OntoNotes or standard WN usage):
    *   Data conversion (text to MathML, file formats) often maps to the sense regarding changing form/system.
    *   Sense 1 definition: "change from one system to another or to a new plan or policy".
    *   Sense 2 definition: "change the nature, purpose, or function of something".

    Is translating input syntax to MathML changing a "system"? The user inputs something (let's say a syntax), and it is converted to MathML. This is a representation change.
    The definition of Sense 1 mentions "change from one system to another".
    The definition of Sense 2 is "change the nature, purpose, or function".
    The definition of Sense 4 is "exchange or replace with another... of the same kind". Input and MathML are different formats of the same mathematical concept. This looks a bit like "dollars into pounds" (same value, different form).

    However, let's look at the "system" aspect in Sense 1. Converting a file involves a system change (format A system to format B system). The example "220 to 110 Volt" is a technical system conversion.
    Let's look at Sense 2. "Convert hotels into jails". This is structural/functional conversion.
    Let's look at Sense 4. "Convert dollars into pounds". This is equivalence exchange.

    The sentence "input is being converted into MathML" is a data transformation task.
    WordNet 3.0 often groups "converting files" or "converting data" under Sense 1 (change from one system to another) in some interpretations, but wait...

    Let's check the synsets specifically in WordNet 3.0.
    *   `convert%2:30:00::` (Sense 1): change from one system to another...
    *   `convert%2:30:04::` (Sense 4): exchange or replace... "Could you convert my dollars into pounds?"
    *   `convert%2:30:02::` (Sense 2 in list, key 03): change the nature, purpose, or function... "convert lead into gold".

    Wait, let's look at the list provided again.
    Sense 1 (key ...00): change from one system to another...
    Sense 2 (key ...03): change the nature, purpose, or function...
    Sense 4 (key ...02): exchange or replace... "convert my dollars into pounds".

    Let's consider the semantic domain: Computational representation.
    "Input" is being changed into "MathML". This is a change of representational system.
    Is it Sense 1? "Change from one system to another". Example: "We converted from 220 to 110 Volt".
    Is it Sense 4? "Exchange or replace... usually of the same kind". Example: "convert my dollars into pounds".

    Usually, converting units (inches to cm) or currency (dollars to pounds) is Sense 4 (or Sense 2 in some numbering schemes).
    Converting file formats (Word to PDF) or systems (Analog to Digital) often maps to Sense 1 (changing systems).

    Is MathML a "system"? It's a markup language (a system of representation).
    Is it "exchanging"? We aren't trading the input for MathML; we are transforming the input *into* MathML.
    Sense 1 seems more applicable to technical/infrastructure changes. "We converted to 110 Volt".
    However, "input is being converted into MathML".
    Let's look at how Sense 2 (key ...03) works. "Change the nature...". "Convert lead into gold". This is transubstantiation.

    Let's look at Sense 1 again. "Change from one system to another". This fits "system" in the broad sense of "method/technology".
    Converting data to a specific format is often cited as an example of Sense 1 in other WSD datasets (like SemCor).
    Example from SemCor for `convert%2:30:00::`: "convert data".
    Let's check this hypothesis.
    If I convert a file to PDF, I am changing it from one system (format) to another.
    Sense 1 seems the best fit for technical/data system conversion.

    Let's double check Sense 4. "Convert dollars into pounds". This is specific to equivalence.
    Sense 1 "We converted from 220 to 110 Volt". This is specific to systems/standards.
    MathML is a standard/language. The input is being transformed into this standard.
    Therefore, Sense 1 is the most logical choice for "converting input into MathML". It involves a change in the representational system.

    Let's verify the sense numbers provided in the prompt.
    1. `convert%2:30:00::` | change from one system to another...
    ...
    2. `convert%2:30:03::` | change the nature...
    ...
    4. `convert%2:30:02::` | exchange or replace...

    The phrase "input is being converted into MathML" describes the process of a parser or compiler/transpiler changing the user's syntax into the MathML syntax.
    This aligns with "change from one system to another" (Sense 1). The "system" here is the syntax/representation format.

    Comparison:
    - Sense 1: System change (Voltage, File Formats). Fits.
    - Sense 4: Exchange (Currency, Units). Fits less well, as it's not a unit conversion.
    - Sense 2: Nature/Function change (Hotel to Jail). Fits less well, as the function (mathematical expression) remains the same, only the representation changes.

    Conclusion: Sense 1 is the correct choice. It captures the technical transformation from one representational system (user input syntax) to another (MathML).

    Let's check the JSON format. {"sense_index": 1}.

format: unknown

native_finish_reason: stop

provider: Novita

currency: USD


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: necessary
Target surface form: necessary
Context:
Although it was initially MathML oriented it can now be used by everyone with little mathematical knowledge. Here's a screenshot of kalgebra main window kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not <t>necessary</t> to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone.

Candidate senses:
1. sense_key=necessary%3:00:00:: | definition=absolutely essential
2. sense_key=necessary%5:00:00:inevitable:00 | definition=unavoidably determined by prior circumstances | examples=the necessary consequences of one's actions

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
1.  **Analyze the context:** The sentence is: "If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML."
    *   The author is explaining how a software (KAlgebra) works.
    *   They state that input converts to MathML.
    *   The key phrase is "it is not necessary to know MathML".
    *   This means you don't *have* to know MathML to use the software. It's not a requirement. It's not essential.
    *   The context implies that knowing MathML might be helpful or happen behind the scenes, but it is not a mandatory condition for the user.

2.  **Analyze the candidate senses:**
    *   **Sense 1:** `definition=absolutely essential`. Synonyms: required, needed, needful.
    *   **Sense 2:** `definition=unavoidably determined by prior circumstances`. Examples: "the necessary consequences of one's actions".

3.  **Compare context to senses:**
    *   Does "not necessary" in this context mean "not absolutely essential" or "not unavoidably determined"?
    *   "It is not essential to know MathML" fits perfectly. The user doesn't *need* to know it.
    *   Does "unavoidably determined by prior circumstances" fit? No. Knowing MathML isn't a logical consequence of a prior action in a deterministic philosophical sense. It's a requirement/skill.

4.  **Select the best sense:**
    *   Sense 1 fits the usage of "necessary" as "essential" or "required". The negation "not necessary" means "not required/optional".
    *   Sense 2 refers to logical inevitability (like cause and effect), which does not fit the practical requirements of using software.

5.  **Formulate the output:**
    *   The instruction asks for a JSON object with the sense index.
    *   Sense 1 is the correct choice.

    JSON: `{"sense_index": 1}`

provider: DigitalOcean


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: know
Target surface form: know
Context:
Although it was initially MathML oriented it can now be used by everyone with little mathematical knowledge. Here's a screenshot of kalgebra main window kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to <t>know</t> MathML. I have based the syntax basically on common sense, it should not be hard for anyone.

Candidate senses:
1. sense_key=know%2:31:01:: | definition=be cognizant or aware of a fact or a specific piece of information; possess knowledge or information about | synonyms=cognize, cognise | examples=I know that the President lied to the people; I want to know who is winning the game!
2. sense_key=know%2:31:03:: | definition=know how to do or perform something | examples=She knows how to knit; Does your husband know how to cook?
3. sense_key=know%2:31:02:: | definition=be aware of the truth of something; have a belief or faith in something; regard as true beyond any doubt | examples=I know that I left the key on the table; Galileo knew that the earth moves around the sun
4. sense_key=know%2:31:00:: | definition=be familiar or acquainted with a person or an object | examples=She doesn't know this composer; Do you know my sister?
5. sense_key=know%2:31:04:: | definition=have firsthand knowledge of states, situations, emotions, or sensations | synonyms=experience, live | examples=I know the feeling!; have you ever known hunger?
6. sense_key=know%2:31:06:: | definition=accept (someone) to be what is claimed or accept his power and authority | synonyms=acknowledge, recognize, recognise | examples=The Crown Prince was acknowledged as the true heir to the throne; We do not recognize your gods
7. sense_key=know%2:31:15:: | definition=have fixed in the mind | examples=I know Latin; This student knows her irregular verbs
8. sense_key=know%2:35:00:: | definition=have sexual intercourse with | synonyms=sleep together, roll in the hay, love, make out, make love, sleep with | examples=This student sleeps with everyone in her dorm; Adam knew Eve
9. sense_key=know%2:31:11:: | definition=know the nature or character of | examples=we all knew her as a big show-off
10. sense_key=know%2:31:12:: | definition=be able to distinguish, recognize as being different | examples=The child knows right from wrong
11. sense_key=know%2:31:14:: | definition=perceive as familiar | examples=I know this voice!

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
1.  **Analyze the target word and context:**
    *   Target lemma: "know"
    *   Target surface form: "know"
    *   Context sentence: "If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to **know** MathML."
    *   The context is discussing a software application (KAlgebra) that uses MathML.
    *   The sentence says users don't need to have specific knowledge/information about MathML (the markup language itself) to use the software.

2.  **Analyze the candidate senses:**

    *   **Sense 1:** `be cognizant or aware of a fact or a specific piece of information; possess knowledge or information about`.
        *   Examples: "I know that the President lied...", "I want to know who is winning...".
        *   Fit: This sense refers to possessing information or being aware of facts. Knowing MathML implies understanding what it is, how it works, or possessing information about it. This fits "it is not necessary to know MathML" (possess knowledge about MathML).

    *   **Sense 2:** `know how to do or perform something`.
        *   Examples: "She knows how to knit..."
        *   Fit: Does "know MathML" mean "know how to do MathML"? While one might argue that knowing a language involves knowing how to use it, Sense 1 is broader and covers "possessing knowledge about" a subject/topic. Knowing a markup language is generally treated as possessing knowledge of that system, rather than a skill like knitting (though there is overlap). Sense 1 ("possess knowledge or information about") seems slightly more fitting for a subject/topic like MathML than Sense 2, which usually frames the object as a skill/action ("know how to [verb]"). However, "know [Subject]" (like "I know MathML") is often synonymous with Sense 7 ("have fixed in the mind") or Sense 1 ("possess knowledge about"). Let's look at Sense 7.

    *   **Sense 3:** `be aware of the truth of something; have a belief or faith in something`.
        *   Fit: This is about propositions (knowing *that* something is true). Not applicable here.

    *   **Sense 4:** `be familiar or acquainted with a person or an object`.
        *   Examples: "She doesn't know this composer".
        *   Fit: MathML is an object/system, not a person. While one can be "acquainted with" MathML, this sense usually targets people or specific physical objects/places encountered.

    *   **Sense 5:** `have firsthand knowledge of states, situations, emotions, or sensations`.
        *   Fit: "I know the feeling!" Not applicable.

    *   **Sense 6:** `accept (someone) to be what is claimed...`.
        *   Fit: Not applicable.

    *   **Sense 7:** `have fixed in the mind`.
        *   Examples: "I know Latin", "This student knows her irregular verbs".
        *   Fit: This sense is often used for languages or bodies of knowledge learned by heart or mastered. "I know Latin" is very similar to "I know MathML". Both are formal languages/systems.
        *   *Comparison between Sense 1 and Sense 7:*
            *   Sense 1: "possess knowledge or information about". Example: "I know that the President lied".
            *   Sense 7: "have fixed in the mind". Example: "I know Latin".
            *   MathML is a markup language. Just like Latin. Saying "I know MathML" implies mastery or having the syntax fixed in the mind. However, the negative context "it is not necessary to know MathML" suggests one does not need to be an expert or have it mastered (Sense 7) or even possess specific knowledge about it (Sense 1).
            *   WordNet often distinguishes "knowing a subject" (Sense 1 or 7). Sense 1's examples are mostly propositional ("know that..."). Sense 7's examples are "know Latin", "know irregular verbs". "MathML" is a formal language specification. It fits the pattern of "knowing a language" (Sense 7) better than "knowing a fact" (Sense 1).
            *   However, let's look closer at Sense 1's definition: "possess knowledge or information about". If I say "I don't need to know physics to use this machine," I am saying I don't need to possess knowledge about physics. If I say "I don't need to know Latin to understand this text," I am saying I don't need to have Latin fixed in my mind.
            *   Let's check the specific examples provided in the dictionary.
            *   Sense 1 examples are almost exclusively propositional ("know that...").
            *   Sense 7 examples are "know Latin", "know irregular verbs".
            *   "MathML" is a technical specification/language. This aligns strongly with "Latin" in Sense 7.
            *   Is there a difference? Sense 1 focuses on facts/information. Sense 7 focuses on content learned/memorized. MathML is a set of rules/syntax (content to be learned). Sense 7 seems the most precise technical match for "knowing a language/subject matter".

    *   **Let's re-evaluate Sense 1 vs Sense 7.**
        *   Context: "it is not necessary to know MathML".
        *   Sense 1: possess knowledge *about*. Often implies awareness.
        *   Sense 7: have fixed in the mind (memorized/learned).
        *   The context implies you don't need to be fluent in MathML or have the syntax memorized. You don't need to "know the language".
        *   "I know Latin" -> Sense 7.
        *   "I know MathML" -> Sense 7.
        *   Sense 7 is defined as "have fixed in the mind". The examples are "I know Latin". This is the standard WSD mapping for knowing a language or a body of facts (like multiplication tables).
        *   Sense 1 is often used for "knowing *about* something" or "knowing a fact". The examples "I know that..." lean heavily towards propositional knowledge.
        *   Therefore, Sense 7 is the better fit for the object "MathML" (a language/system).

    *   Let's check Sense 2 again. "know how to do or perform something". "Know MathML" could be interpreted as "know how to write MathML". However, Sense 7 ("have fixed in the mind") covers knowing a language (Latin, MathML) specifically in WordNet's schema. The example "I know Latin" is the strongest parallel.

    *   Let's check Sense 4. "be familiar or acquainted with". Example: "Do you know my sister?". "I know this composer". Usually used for people. Sometimes for things. But "knowing a language" usually falls under Sense 7.

    *   Decision: Sense 7 is the specific sense for knowing a subject, language, or body of knowledge learned by rote or study ("have fixed in the mind"). The example "I know Latin" clinches it for "know MathML".

    *   Wait, let me double-check standard WSD mappings.
        *   "I know the answer." -> Fact? (Sense 1)
        *   "I know him." -> Person (Sense 4)
        *   "I know karate." -> Skill? (Sense 2 - though colloquially distinct).
        *   "I know Latin." -> Language (Sense 7).
        *   "I know MathML." -> Language/Standard (Sense 7).

    *   Let's look at the text again. "it is not necessary to know MathML". This means the user doesn't need to have the knowledge of the MathML syntax fixed in their mind. This matches Sense 7 perfectly.

3.  **Final Selection:** Sense 7.

    *   Index 7 corresponds to `sense_key=know%2:31:14::` (Wait, let me count the list carefully).
    *   List provided:
        1. know%2:31:01:: (fact/info)
        2. know%2:31:03:: (how to)
        3. know%2:31:02:: (truth/belief)
        4. know%2:31:00:: (acquainted with person/object)
        5. know%2:31:04:: (experience)
        6. know%2:31:15:: (authority)
        7. know%2:31:06:: (have fixed in mind)  <-- Wait.
        Let me read the list in the prompt again.

    *   Prompt List:
        1. sense_key=know%2:31:01:: ... cognizant/aware of fact ...
        2. sense_key=know%2:31:03:: ... know how to do ...
        3. sense_key=know%2:31:02:: ... aware of truth ...
        4. sense_key=know%2:31:00:: ... familiar/acquainted with person/object ...
        5. sense_key=know%2:31:04:: ... firsthand knowledge (experience) ...
        6. sense_key=know%2:31:15:: ... accept authority ...
        7. sense_key=know%2:31:06:: ... have fixed in the mind ... examples: "I know Latin" ...
        8. sense_key=know%2:31:35:00:: ... sexual intercourse ...
        9. sense_key=know%2:31:11:: ... know nature/character ...
        10. sense_key=know%2:31:12:: ... distinguish ...
        11. sense_key=know%2:31:14:: ... perceive as familiar ...

    *   Okay, Sense 7 in the list corresponds to `know%2:31:06::` with definition "have fixed in the mind" and examples "I know Latin".
    *   "MathML" is a markup language. "Latin" is a language.
    *   Therefore, the target sense is Sense 7.

    Let's verify Sense 1 again just in case.
    Sense 1 definition: "possess knowledge or information about". Examples: "I know that the President lied".
    The distinction in WordNet is often:
    - Sense 1: Propositional knowledge (knowing *that*).
    - Sense 7: Procedural/Memorized knowledge (knowing *X*, where X is a body of knowledge/language). "I know Latin" isn't "I possess information about Latin" (Sense 1), it's "I have Latin fixed in my mind" (Sense 7).
    - Sense 2: Skill (knowing *how to*).
    Knowing a computer language (MathML) is semantically closer to knowing a natural language (Latin) than knowing a fact (President lied) or a skill (knit). You have to memorize the syntax (fixed in mind).

    Conclusion: Sense 7 is the best fit.

    Let me verify the indexing.
    1 -> 2:31:01
    2 -> 2:31:03
    3 -> 2:31:02
    4 -> 2:31:00
    5 -> 2:31:04
    6 -> 2:31:15
    7 -> 2:31:06 ("have fixed in the mind")

    Yes. I will select index 7.

provider: StreamLake


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: base
Target surface form: based
Context:
Here's a screenshot of kalgebra main window kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have <t>based</t> the syntax basically on common sense, it should not be hard for anyone. I ve looked closely to maxima and maple s syntax so they look very similar.

Candidate senses:
1. sense_key=base%2:31:00:: | definition=use as a basis for; found on | synonyms=establish, ground, found | examples=base a claim on some observation
2. sense_key=base%2:42:04:: | definition=situate as a center of operations | examples=we will base this project in the new lab
3. sense_key=base%2:34:00:: | definition=use (purified cocaine) by burning it and inhaling the fumes | synonyms=free-base

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
Let me analyze the context and the candidate senses for the word "based" in the given sentence.

The sentence is: "I have based the syntax basically on common sense, it should not be hard for anyone."

Let's analyze what "based" means in this context:

1. The speaker is talking about how they designed the syntax for something called Kalgebra.
2. They're explaining that they used common sense as the foundation for the syntax design.
3. They're not referring to establishing a physical location (not sense 2).
4. They're not referring to using drugs (not sense 3).

Now, let's check the candidate senses:

1. sense_key=base%2:31:00:: | definition=use as a basis for; found on | synonyms=establish, ground, found | examples=base a claim on some observation
   This sense is about using something as a foundation or basis for something else. This fits well with "I have based the syntax basically on common sense," where the syntax is founded on common sense.

2. sense_key=base%2:42:04:: | definition=situate as a center of operations | examples=we will base this project in the new lab
   This sense is about establishing a physical location or center. This doesn't fit the context.

3. sense_key=base%2:34:00:: | definition=use (purified cocaine) by burning it and inhaling the fumes | synonyms=free-base
   This sense is about using drugs, which is completely unrelated to the context.

Based on the analysis, sense 1 "use as a basis for; found on" is the best fit for this context. The speaker is saying they used common sense as the foundation or basis for the syntax design.

So my answer is {"sense_index": 1}.

provider: Friendli


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: hard
Target surface form: hard
Context:
Here's a screenshot of kalgebra main window kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be <t>hard</t> for anyone. I ve looked closely to maxima and maple s syntax so they look very similar.

Candidate senses:
1. sense_key=hard%3:00:06:: | definition=not easy; requiring great physical or mental effort to accomplish or comprehend or endure | synonyms=difficult | examples=a difficult task; nesting places on the cliffs are difficult of access
2. sense_key=hard%3:00:02:: | definition=dispassionate | examples=took a hard look; a hard bargainer
3. sense_key=hard%3:00:01:: | definition=resisting weight or pressure
4. sense_key=hard%5:00:00:strong:00 | definition=very strong or vigorous | synonyms=knockout, severe | examples=strong winds; a hard left to the chin
5. sense_key=hard%5:00:01:effortful:00 | definition=characterized by effort to the point of exhaustion; especially physical effort | synonyms=arduous, backbreaking, grueling, gruelling, heavy, laborious | examples=worked their arduous way up the mining valley; a grueling campaign
6. sense_key=hard%3:00:00:: | definition=produced without vibration of the vocal cords | synonyms=unvoiced, voiceless, surd | examples=unvoiced consonants such as `p' and `k' and `s'
7. sense_key=hard%3:00:05:: | definition=(of light) transmitted directly from a pointed light source | synonyms=concentrated
8. sense_key=hard%3:00:03:: | definition=(of speech sounds); produced with the back of the tongue raised toward or touching the velum | examples=Russian distinguished between hard consonants and palatalized or soft consonants
9. sense_key=hard%5:00:00:indulgent:00 | definition=given to excessive indulgence of bodily appetites especially for intoxicating liquors | synonyms=intemperate, heavy | examples=a hard drinker
10. sense_key=hard%5:00:00:alcoholic:00 | definition=being distilled rather than fermented; having a high alcoholic content | synonyms=strong | examples=hard liquor
11. sense_key=hard%5:00:00:bad:00 | definition=unfortunate or hard to bear | synonyms=tough | examples=had hard luck; a tough break
12. sense_key=hard%5:00:00:stale:00 | definition=dried out | examples=hard dry rolls left over from the day before

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
1.  **Analyze the Context:**
    *   **Sentence:** "I have based the syntax basically on common sense, it should not be hard for anyone."
    *   **Domain:** Software documentation (KAlgebra). Discussing the syntax of a computer algebra system.
    *   **Meaning:** The author claims the syntax is intuitive ("based on common sense") and therefore not difficult for users to learn or use.
    *   **Part of Speech:** Adjective.

2.  **Analyze the Candidate Senses:**

    *   **Sense 1:** `hard%3:00:06::` | definition=not easy; requiring great physical or mental effort to accomplish or comprehend or endure | synonyms=difficult.
        *   *Match:* This fits perfectly. "Not hard" = "not difficult" = "easy to learn/use". The context implies mental effort (comprehending/learning the syntax).

    *   **Sense 2:** `hard%3:00:02::` | definition=dispassionate | examples=took a hard look; a hard bargainer.
        *   *Mismatch:* Not related to objectivity or negotiation style.

    *   **Sense 3:** `hard%3:00:01::` | definition=resisting weight or pressure.
        *   *Mismatch:* Not physical texture (like a rock).

    *   **Sense 4:** `hard%5:00:00:strong:00` | definition=very strong or vigorous.
        *   *Mismatch:* Not related to strength or force.

    *   **Sense 5:** `hard%5:00:01:effortful:00` | definition=characterized by effort to the point of exhaustion; especially physical effort.
        *   *Mismatch:* This refers to strenuous physical labor (arduous, backbreaking). While learning syntax takes mental effort, this sense implies exhaustion and usually physical exertion, which isn't the primary definition of "hard" when describing a concept like syntax being easy/difficult. Sense 1 is the general definition for "not easy", while Sense 5 is specific to "arduous labor". Sense 1 is a better fit for "learning syntax".

    *   **Sense 6:** `hard%3:00:00::` | definition=produced without vibration of the vocal cords.
        *   *Mismatch:* Phonetics context only.

    *   **Sense 7:** `hard%3:00:05::` | definition=(of light) transmitted directly from a pointed light source.
        *   *Mismatch:* Photography/lighting context.

    *   **Sense 8:** `hard%3:00:03::` | definition=(of speech sounds); produced with the back of the tongue raised...
        *   *Mismatch:* Phonetics context.

    *   **Sense 9:** `hard%5:00:00:indulgent:00` | definition=given to excessive indulgence...
        *   *Mismatch:* Human behavior/addiction context.

    *   **Sense 10:** `hard%5:00:00:alcoholic:00` | definition=being distilled rather than fermented...
        *   *Mismatch:* Alcohol context.

    *   **Sense 11:** `hard%5:00:00:bad:00` | definition=unfortunate or hard to bear.
        *   *Mismatch:* Usually refers to events or luck ("hard luck"). Not fitting here.

    *   **Sense 12:** `hard%5:00:00:stale:00` | definition=dried out.
        *   *Mismatch:* Texture of food.

3.  **Comparison and Selection:**
    *   The sentence means "it should not be difficult".
    *   Sense 1 defines "hard" as "not easy; requiring great physical or mental effort to accomplish or comprehend". The context involves "comprehending" the syntax.
    *   Sense 5 mentions effort, but usually implies "arduous" or "backbreaking" work. The context here is a user interface/software syntax, which is a mental task, but "not hard" generally maps to "not difficult" (Sense 1) rather than "not exhausting" (Sense 5). Sense 1 covers mental effort to comprehend.

4.  **Final Decision:** Sense 1.

provider: Baidu


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: closely
Target surface form: closely
Context:
kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked <t>closely</t> to maxima and maple s syntax so they look very similar. + - * /: Addition, subtraction, multiplication and division.

Candidate senses:
1. sense_key=closely%4:02:00:: | definition=in a close relation or position in time or space | examples=the onsets were closely timed; houses set closely together
2. sense_key=closely%4:02:02:: | definition=in an attentive manner | synonyms=close, tight | examples=he remained close on his guard
3. sense_key=closely%4:02:01:: | definition=in a close manner | synonyms=intimately, nearly | examples=the two phenomena are intimately connected; the person most nearly concerned

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

raw_output: sense_index": 2}

content: sense_index": 2}

reasoning_content:
1.  **Analyze the target word and context:**
    *   Target lemma: `closely`
    *   Context sentence: "I ve looked `closely` to maxima and maple s syntax so they look very similar."
    *   Full context: The text describes the syntax of a software tool called KAlgebra. The author explains that they based the syntax on common sense and looked `closely` at other math software (Maxima and Maple) for inspiration.

2.  **Analyze the candidate senses:**

    *   **Sense 1:** `closely%4:02:00::`
        *   Definition: "in a close relation or position in time or space"
        *   Examples: "the onsets were closely timed", "houses set closely together"
        *   Meaning: Physical proximity or temporal proximity. "Looked closely" in the context of examining syntax doesn't mean standing physically near it, though it implies examining details. However, the definition emphasizes time/space relation primarily.

    *   **Sense 2:** `closely%4:02:02::`
        *   Definition: "in an attentive manner"
        *   Synonyms: close, tight
        *   Examples: "he remained close on his guard"
        *   Meaning: Paying close attention, examining carefully, scrutinizing.

    *   **Sense 3:** `closely%4:02:01::`
        *   Definition: "in a close manner" (This is often a catch-all or 'manner' derivation from the adjective 'close').
        *   Synonyms: intimately, nearly
        *   Examples: "the two phenomena are intimately connected", "the person most nearly concerned"
        *   Meaning: Connection, intimacy, nearness in relationship. "Looked closely to maxima... so they look very similar" implies a relationship, but "looked closely *to*" usually means "examined" or "studied" in this context, rather than "is closely related to". The preposition "to" after "looked" suggests the action of looking/examining. "I have looked closely to..." is slightly ungrammatical (usually "looked closely at"), but the intended meaning is clearly "examined carefully".

3.  **Evaluate the fit of each sense:**

    *   The context is: "I ve looked `closely` to maxima and maple s syntax..."
    *   The author is saying they examined or studied the syntax of Maxima and Maple.
    *   Is it Sense 1 (Time/Space)? No. The author isn't physically standing next to the software or timing the events.
    *   Is it Sense 3 (Intimate connection)? While the result is that the syntaxes are similar, the action "looked closely" refers to the *manner* of looking, not the state of being connected. "Intimately" or "nearly" don't fit "looked [adverb] to". One doesn't usually "look nearly to something". One might say "they are closely related" (Sense 3), but here the verb is "looked".
    *   Is it Sense 2 (Attentive manner)? "In an attentive manner". The synonym "close" fits "looked close(ly)". The definition fits the act of studying or examining something with scrutiny. The example "he remained close on his guard" implies attentiveness. "Looked closely" (often corrected to "looked closely at") implies scrutinizing.

4.  **Compare Sense 1 and Sense 2:**
    *   WordNet often distinguishes between physical proximity (Sense 1) and attentiveness (Sense 2).
    *   In "looked closely", the meaning is "examined carefully" or "scrutinized". This maps to "in an attentive manner" (Sense 2).
    *   Even though the input says "looked closely *to*" (which is arguably a non-standard preposition usage, likely meaning "looked at closely"), the core semantic of the adverb `closely` modifies the verb `looked`.
    *   When you look closely at something, you are being attentive.
    *   Sense 2 definition: "in an attentive manner".
    *   This fits the context of studying source code or syntax perfectly.

5.  **Final Verification:**
    *   Sentence: "I've looked closely [at] maxima..."
    *   Meaning: I paid close attention to Maxima.
    *   Sense 2: "in an attentive manner".
    *   This is the correct WordNet sense mapping for "examined carefully".

    *   Let's double check Sense 3. "in a close manner" -> synonyms "intimately, nearly". Example: "closely connected". This refers to the *result* of the looking ("they look very similar"), but the adverb in the sentence modifies "looked". The act of looking was done *attentively*, not *intimately* or *nearly*.

    *   Therefore, Sense 2 is the best choice.

6.  **Formatting Output:**
    *   Must return JSON: `{"sense_index": 2}`.

provider: Amazon Bedrock


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: closely
Target surface form: closely
Context:
kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked <t>closely</t> to maxima and maple s syntax so they look very similar. + - * /: Addition, subtraction, multiplication and division.

Candidate senses:
1. sense_key=closely%4:02:00:: | definition=in a close relation or position in time or space | examples=the onsets were closely timed; houses set closely together
2. sense_key=closely%4:02:02:: | definition=in an attentive manner | synonyms=close, tight | examples=he remained close on his guard
3. sense_key=closely%4:02:01:: | definition=in a close manner | synonyms=intimately, nearly | examples=the two phenomena are intimately connected; the person most nearly concerned

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

[Assistant] sense_index": 2}

[User] Your previous answer was invalid. Choose one candidate index between 1 and 3. Return only valid JSON exactly like {"sense_index": 1}.

reasoning_content:
1.  **Analyze the Target and Context:**
    *   **Target:** "closely" (adverb).
    *   **Context:** The text is describing a software application called Kalgebra. The author says: "I ve looked <t>closely</t> to maxima and maple s syntax so they look very similar."
    *   **Meaning in context:** The author examined/studied the syntax of Maxima and Maple with care, attention, and detail. They didn't look at them "nearby in space" or "in a tight relation", they observed them *carefully* to imitate or understand them.

2.  **Analyze the Candidate Senses:**

    *   **Sense 1:**
        *   *Definition:* in a close relation or position in time or space.
        *   *Examples:* "the onsets were closely timed", "houses set closely together".
        *   *Fit:* This refers to physical proximity or temporal proximity. The context is about examining something (abstractly, or looking at code). This is not the primary meaning here. You don't "look in a close position" to something in this sense, you look *at* something *carefully*.

    *   **Sense 2:**
        *   *Definition:* in an attentive manner.
        *   *Synonyms:* close, tight.
        *   *Examples:* "he remained close on his guard".
        *   *Fit:* This refers to the manner of observation or action. "I have looked closely" = "I have looked attentively" / "I have paid close attention". This matches the context perfectly. The author examined the syntax with attention to detail.

    *   **Sense 3:**
        *   *Definition:* in a close manner (often implies intimacy or nearness).
        *   *Synonyms:* intimately, nearly.
        *   *Examples:* "the two phenomena are intimately connected", "the person most nearly concerned".
        *   *Fit:* This usually refers to relationships between things (connectedness) or approximation. The context isn't about two things being intimately connected, but about the *action* of looking.

3.  **Compare and Select:**
    *   "I've looked closely" is a standard idiom for "I have examined this carefully/attentively."
    *   Sense 2 explicitly defines "in an attentive manner".
    *   Sense 1 is spatial/temporal.
    *   Sense 3 is relational/approximative.
    *   Therefore, Sense 2 is the correct choice.

4.  **Format Output:**
    *   The user wants a JSON object: `{"sense_index": 2}`.


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: look
Target surface form: look
Context:
kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked closely to maxima and maple s syntax so they <t>look</t> very similar. + - * /: Addition, subtraction, multiplication and division.

Candidate senses:
1. sense_key=look%2:39:00:: | definition=perceive with attention; direct one's gaze towards | examples=She looked over the expanse of land; Look at your child!
2. sense_key=look%2:39:01:: | definition=give a certain impression or have a certain outward aspect | synonyms=appear, seem | examples=She seems to be sleeping; This appears to be a very difficult problem
3. sense_key=look%2:29:00:: | definition=have a certain outward or facial expression | examples=How does she look?; The child looks unhappy
4. sense_key=look%2:39:02:: | definition=search or seek | synonyms=search | examples=We looked all day and finally found the child in the forest; Look elsewhere for the perfect gift!
5. sense_key=look%2:42:00:: | definition=be oriented in a certain direction, often with respect to another reference point; be opposite to | synonyms=front, face | examples=The house looks north; My backyard look onto the pond
6. sense_key=look%2:41:13:: | definition=take charge of or deal with | synonyms=attend, take care, see | examples=Could you see about lunch?; I must attend to this matter
7. sense_key=look%2:32:00:: | definition=convey by one's expression | examples=She looked her devotion to me
8. sense_key=look%2:31:00:: | definition=look forward to the probable occurrence of | synonyms=expect, await, wait | examples=We were expecting a visit from our relatives; She is looking to a promotion
9. sense_key=look%2:42:02:: | definition=accord in appearance with | examples=You don't look your age!
10. sense_key=look%2:31:02:: | definition=have faith or confidence in | synonyms=count, bet, depend, calculate, reckon | examples=you can count on me to help you any time; Look to your friends for support

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
1.  **Analyze the Target Word and Context:**
    *   **Target Lemma:** `look`
    *   **Target Surface Form:** `look`
    *   **Context Sentence:** "I ve looked closely to maxima and maple s syntax so they <t>look</t> very similar."
    *   **Full Context:** A description of the software Kalgebra, discussing syntax and similarities to other software (Maxima, Maple).

2.  **Analyze the Specific Usage:**
    *   The sentence is: "I ve looked closely to maxima and maple s syntax so they <t>look</t> very similar."
    *   Clause 1: "I ve looked closely..." (The subject "I" performed the action of examining).
    *   Clause 2: "...so they <t>look</t> very similar." (Subject "they" refers to the syntax).
    *   Meaning of `look` in Clause 2: The syntax of Kalgebra appears to be similar to Maxima/Maple. It describes the state or appearance of the subject ("they").
    *   Grammatical Structure: Subject + look + Adjective phrase ("very similar"). This is a linking verb construction (copula).

3.  **Evaluate Candidate Senses:**

    *   **Sense 1:** "perceive with attention; direct one's gaze towards" (Examples: "She looked over the expanse of land").
        *   Analysis: This is an active verb requiring a sentient agent as the subject. In the target clause, the subject is "they" (syntax), which cannot look at things. This sense fits the first clause ("I've looked..."), but the target word is specifically in the second clause where "they" is the subject. So, this is incorrect for the specific instance.

    *   **Sense 2:** "give a certain impression or have a certain outward aspect" (Synonyms: appear, seem).
        *   Analysis: The subject is "they" (the syntax). The predicate is "very similar". The meaning is that the syntax appears/seems similar. "They look very similar" = "They appear very similar". This matches perfectly with the definition and synonyms.

    *   **Sense 3:** "have a certain outward or facial expression" (Examples: "The child looks unhappy").
        *   Analysis: Very similar to Sense 2, but usually restricted to animate beings (facial expression). While WordNet examples often feature humans, the definition "have a certain outward... expression" could apply metaphorically to objects. However, Sense 2 ("have a certain outward aspect") is more general and covers inanimate objects like syntax much better than "facial expression". Sense 2 is the broader "seem/appear" sense.

    *   **Sense 4:** "search or seek" (Synonyms: search).
        *   Analysis: Doesn't fit. The syntax isn't searching.

    *   **Sense 5:** "be oriented in a certain direction" (Synonyms: front, face).
        *   Analysis: Doesn't fit. Not about physical orientation.

    *   **Sense 6:** "take charge of or deal with" (Synonyms: attend).
        *   Analysis: Doesn't fit.

    *   **Sense 7:** "convey by one's expression".
        *   Analysis: Requires an animate agent acting intentionally.

    *   **Sense 8:** "look forward to" (Synonyms: expect).
        *   Analysis: Doesn't fit.

    *   **Sense 9:** "accord in appearance with" (Examples: "You don't look your age!").
        *   Analysis: This is a specific nuance of Sense 2/3, usually involving a comparison to a standard (like age). "They look very similar" fits Sense 2 better ("seem") than this specific "accord with" definition, though they are related. Sense 2 is the primary definition for the copular usage "Subject looks Adjective".

    *   **Sense 10:** "have faith or confidence in".
        *   Analysis: Doesn't fit.

4.  **Compare Sense 2 and Sense 3:**
    *   Sense 2: "give a certain impression or have a certain outward aspect". Synonyms: appear, seem.
    *   Sense 3: "have a certain outward or facial expression".
    *   In WordNet (or general lexicography), the distinction is often that Sense 2 is the general copular "seem/appear" (The house looks big, The syntax looks similar), whereas Sense 3 focuses on facial expression or countenance (He looks sad, She looks angry).
    *   The context here is computer code syntax ("they look very similar"). Syntax does not have a face. Therefore, it falls under the general outward aspect/impression (Sense 2).

5.  **Conclusion:**
    The target word `look` is used as a linking verb meaning "seem" or "appear". The subject is inanimate ("they" = syntax). The best match is Sense 2.

    Sentence: "...so they **look** very similar."
    Definition: "...have a certain outward aspect" / "appear".
    Match: Sense 2.

6.  **Final Output Formulation:**
    Select Sense 2.
    Return JSON.


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: very
Target surface form: very
Context:
kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked closely to maxima and maple s syntax so they look <t>very</t> similar. + - * /: Addition, subtraction, multiplication and division.

Candidate senses:
1. sense_key=very%4:02:00:: | definition=used as intensifiers; `real' is sometimes used informally for `really'; `rattling' is informal | synonyms=really, real, rattling | examples=she was very gifted; he played very well
2. sense_key=very%4:02:01:: | definition=precisely so | examples=on the very next page; he expected the very opposite

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
The target word is "very" in the context: "I've looked closely to maxima and maple's syntax so they look very similar."

In this context, "very" is being used as an intensifier - meaning "extremely" or "really" similar. It's intensifying the adjective "similar."

Let me look at the candidate senses:

1. sense_key=very%4:02:00:: - used as intensifiers; `real' is sometimes used informally for `really'; `rattling' is informal | synonyms=really, real, rattling | examples=she was very gifted; he played very well

2. sense_key=very%4:02:01:: - precisely so | examples=on the very next page; he expected the very opposite

Sense 1 is about using "very" as an intensifier (like "very gifted", "very well", "very similar"). This matches the context where "very" intensifies "similar."

Sense 2 is about "very" meaning "precisely" or "exactly" (like "the very next page" meaning the exact next page, or "the very opposite" meaning the exact opposite). This doesn't match the context.

The context "they look very similar" uses "very" as an intensifier, so sense 1 is the correct choice.

provider: SiliconFlow


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: similar
Target surface form: similar
Context:
kalgebra main window kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked closely to maxima and maple s syntax so they look very <t>similar</t>. + - * /: Addition, subtraction, multiplication and division.

Candidate senses:
1. sense_key=similar%3:00:00:: | definition=marked by correspondence or resemblance | examples=similar food at similar prices; problems similar to mine
2. sense_key=similar%3:00:04:: | definition=having the same or similar characteristics | synonyms=alike, like | examples=all politicians are alike; they looked utterly alike
3. sense_key=similar%3:00:02:: | definition=resembling or similar; having the same or some of the same characteristics; often used in combination | synonyms=like | examples=suits of like design; a limited circle of like minds
4. sense_key=similar%5:00:00:synonymous:00 | definition=(of words) expressing closely related meanings
5. sense_key=similar%5:00:00:replaceable:00 | definition=capable of replacing or changing places with something else; permitting mutual substitution without loss of function or suitability | synonyms=exchangeable, interchangeable, standardized, standardised | examples=interchangeable electric outlets; interchangeable parts

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

content:
```json
{"sense_index": 1}
```

reasoning_content:
1.  **Analyze the context:**
    *   The text describes the syntax of a software tool called Kalgebra.
    *   It compares the syntax to Maxima and Maple (other computer algebra systems).
    *   The phrase is: "I ve looked closely to maxima and maple s syntax so they look very <t>similar</t>."
    *   Meaning: The syntax of Kalgebra resembles the syntax of Maxima and Maple. They share features or appearance.

2.  **Analyze the candidate senses:**
    *   **Sense 1:** "marked by correspondence or resemblance". Examples: "similar food at similar prices", "problems similar to mine". This is the general, broad sense of similarity. It fits the idea that one thing resembles another.
    *   **Sense 2:** "having the same or similar characteristics". Synonyms: "alike, like". Examples: "all politicians are alike", "they looked utterly alike". This sense often implies a stronger degree of identity or indistinguishability (predicative usage often focusing on the subjects being alike). "They look very alike" vs "They look very similar".
    *   **Sense 3:** "resembling or similar; having the same or some of the same characteristics; often used in combination". Synonyms: "like". Examples: "suits of like design", "a limited circle of like minds". This definition mentions "often used in combination" (attributive usage) or just general resemblance. The examples are attributive ("like minds"). The target usage is predicative ("they look very similar").
    *   **Sense 4:** "(of words) expressing closely related meanings". This is about semantic synonymy. The context is about programming syntax, not strictly dictionary definitions of words.
    *   **Sense 5:** "capable of replacing or changing places...". Synonyms: "interchangeable". This refers to functional interchangeability (like parts). While similar syntax might make switching easier, the word "similar" here describes appearance/structure, not the specific technical definition of interchangeability.

3.  **Evaluate the best fit:**
    *   Sense 4 and 5 are too specific (semantics of words, mechanical interchangeability) and don't fit the context of comparing programming language syntaxes in general terms.
    *   Sense 3 often leans towards attributive use ("like minds") or specific resemblance, but Sense 1 is the standard definition for general correspondence or resemblance.
    *   Let's compare Sense 1 and Sense 2. Sense 2 ("alike") often implies being essentially the same in key aspects. Sense 1 ("resemblance") implies looking like or having features in common.
    *   The text says "they look very similar". The "they" refers to the syntaxes.
    *   WordNet 3.0 structure for "similar":
        *   Adjective Satellite 1: marked by correspondence or resemblance (similar).
        *   Adjective Satellite 2: having the same or similar characteristics (alike, like).
        *   Adjective Satellite 3: resembling or similar; often used in combination (like).
    *   Context: "maxima and maple's syntax so they look very similar".
    *   The examples for Sense 1 ("similar food at similar prices", "problems similar to mine") match the usage where X resembles Y.
    *   The examples for Sense 2 ("all politicians are alike") suggest a state of being alike.
    *   Often, the distinction in WN is tricky. However, Sense 1 is the most general definition for "similar" corresponding to the concept of resemblance.
    *   Let's look at the Sense Keys provided in the prompt to identify the index mapping.
        *   Index 1: `similar%3:00:00::` -> "marked by correspondence or resemblance".
        *   Index 2: `similar%3:00:04::` -> "having the same or similar characteristics" (Synonyms: alike, like).
        *   Index 3: `similar%3:00:02::` -> "resembling or similar... often used in combination" (Synonyms: like).
    *   "They look very similar" is a predicative usage.
    *   Is it Sense 1 or Sense 2?
    *   Sense 2's examples "they looked utterly alike" is grammatically close to "they look very similar".
    *   However, the word itself is "similar".
    *   If the target word is "similar", Sense 1 is usually the direct mapping for the word "similar".
    *   Sense 2 (synonyms: alike, like) seems to be the synset primarily populated by "alike" or "like", where "similar" might be a synonym. But wait, the definition is provided for the target lemma.
    *   Let's check WordNet hierarchy/structure mental model.
    *   Usually, "similar" (the specific word) maps to the synset defined by "marked by correspondence or resemblance".
    *   The synset defined by "having the same or similar characteristics" usually centers on "alike".
    *   The context "syntax... look very similar" implies resemblance. Sense 1 is the standard definition of the word "similar".
    *   Sense 3 ("often used in combination") is definitely out (not "similar syntax" as a compound, but predicative "look similar").
    *   Sense 1's examples "similar food...", "problems similar to mine" use "similar".
    *   Sense 2's examples "all politicians are alike" use "alike". If the target word in the prompt is "similar", and the example for Sense 2 uses "alike", Sense 2 is likely the "alike" synset.
    *   Therefore, when the word used is actually "similar", it maps to Sense 1.

    *   Let's double-check Sense 1 vs Sense 3. Sense 3 is "like" (often attributive). Sense 1 is "similar".
    *   The usage "look very similar" is standard predicative use.
    *   "marked by correspondence or resemblance" is the core definition.
    *   Therefore, Sense 1 is the correct choice.

4.  **Final Verification:**
    *   Sentence: "maxima and maple's syntax so they look very similar."
    *   Meaning: The syntax of Kalgebra resembles that of Maxima/Maple.
    *   Sense 1 definition: "marked by correspondence or resemblance".
    *   This matches perfectly.
    *   Sense 2 definition focuses on "having the same... characteristics" with examples using "alike". While close, Sense 1 is the primary definition for the specific lexical item "similar".

    *   JSON Output: {"sense_index": 1}


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: addition
Target surface form: Addition
Context:
kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked closely to maxima and maple s syntax so they look very similar. + - * /: <t>Addition</t>, subtraction, multiplication and division. ^, **: Power, you can use them both.

Candidate senses:
1. sense_key=addition%1:06:00:: | definition=a component that is added to something to improve it | synonyms=add-on, improver | examples=the addition of a bathroom was a major improvement; the addition of cinnamon improved the flavor
2. sense_key=addition%1:04:02:: | definition=the act of adding one thing to another | examples=the addition of flowers created a pleasing effect; the addition of a leap day every four years
3. sense_key=addition%1:23:00:: | definition=a quantity that is added | synonyms=increase, gain | examples=there was an addition to property taxes this year; they recorded the cattle's gain in weight over a period of weeks
4. sense_key=addition%1:21:00:: | definition=something added to what you already have | synonyms=accession | examples=the librarian shelved the new accessions; he was a new addition to the staff
5. sense_key=addition%1:15:00:: | definition=a suburban area laid out in streets and lots for a future residential area
6. sense_key=addition%1:04:01:: | definition=the arithmetic operation of summing; calculating the sum of two or more numbers | synonyms=summation, plus | examples=the summation of four and three gives seven; four plus three equals seven

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
1.  **Analyze the target word and context:**
    *   Target lemma: `addition`
    *   Target surface form: `Addition`
    *   Context sentence: `+ - * /: Addition, subtraction, multiplication and division.`
    *   Broader context: A software manual for "kalgebra" describing mathematical operators and syntax. It lists `+`, `-`, `*`, `/`.
    *   Key association: The context lists "Addition" alongside "subtraction, multiplication and division". These are the four basic arithmetic operations.

2.  **Analyze the candidate senses:**

    *   *Sense 1:* "a component that is added to something to improve it" (synonyms: add-on, improver).
        *   Does this fit? No. This refers to an attachment or supplementary part (like an extension to a house or a software plugin). The context is about math operations.

    *   *Sense 2:* "the act of adding one thing to another".
        *   Does this fit? This is a general action. While adding numbers is an act, this sense usually implies physical addition or augmentation (like adding flowers). It doesn't specifically denote the mathematical operation definition.

    *   *Sense 3:* "a quantity that is added" (synonyms: increase, gain).
        *   Does this fit? No. This refers to the *result* or the amount added (e.g., a weight gain, a tax increase). The context defines the operator `+`, which denotes the process/operation, not a specific quantity.

    *   *Sense 4:* "something added to what you already have" (synonyms: accession).
        *   Does this fit? No. This refers to a new acquisition (like a new book in a library or a new staff member).

    *   *Sense 5:* "a suburban area laid out in streets..."
        *   Does this fit? No. This is a real estate term.

    *   *Sense 6:* "the arithmetic operation of summing; calculating the sum of two or more numbers" (synonyms: summation, plus).
        *   Does this fit? Yes. The context lists arithmetic operators (`+`, `-`, `*`, `/`) and labels them. `+` is universally the symbol for addition (the operation). The list contains "subtraction, multiplication and division", which are the counterparts to addition in the set of arithmetic operations.

3.  **Compare and Select:**
    *   The text is explaining mathematical syntax: `+` means addition.
    *   "Subtraction, multiplication and division" are mathematical operations.
    *   Sense 6 explicitly defines addition as "the arithmetic operation of summing".
    *   Sense 6 examples: "four plus three equals seven". This aligns perfectly with the calculator/math software context.

4.  **Final Decision:**
    *   Sense 6 is the correct choice. It defines the mathematical operation performed by the `+` operator.

5.  **Format Output:**
    *   JSON object `{"sense_index": 6}`.


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: subtraction
Target surface form: subtraction
Context:
kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked closely to maxima and maple s syntax so they look very similar. + - * /: Addition, <t>subtraction</t>, multiplication and division. ^, **: Power, you can use them both.

Candidate senses:
1. sense_key=subtraction%1:04:01:: | definition=an arithmetic operation in which the difference between two numbers is calculated | synonyms=minus | examples=the subtraction of three from four leaves one; four minus three equals one
2. sense_key=subtraction%1:04:00:: | definition=the act of subtracting (removing a part from the whole) | synonyms=deduction | examples=he complained about the subtraction of money from their paychecks

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

reasoning_content:
1.  **Analyze the Request:**
    *   **Target Lemma:** subtraction
    *   **Context:** A description of the software Kalgebra. It mentions tabs, input fields, calculations, MathML, syntax similar to Maxima and Maple, and then lists operators: "+ - * /: Addition, subtraction, multiplication and division. ^, **: Power..."
    *   **Candidate Senses:**
        *   Sense 1: Arithmetic operation calculating the difference between two numbers (synonyms: minus).
        *   Sense 2: Act of subtracting/removing a part from the whole (synonyms: deduction).
    *   **Constraints:** Choose the single best indexed sense. Do not hedge. Return only JSON `{"sense_index": X}`.

2.  **Analyze the Context:**
    *   The sentence lists mathematical operators: "Addition, subtraction, multiplication and division."
    *   The context is a calculator or mathematical software (Kalgebra) syntax description.
    *   The list includes basic arithmetic operations.

3.  **Evaluate Sense 1:**
    *   *Definition:* "an arithmetic operation in which the difference between two numbers is calculated"
    *   *Synonyms:* minus
    *   *Examples:* "the subtraction of three from four leaves one"
    *   *Fit:* This matches the context perfectly. The text is describing the minus operator (`-`) used in mathematical calculations. "Subtraction" is listed alongside addition, multiplication, and division as an arithmetic operation.

4.  **Evaluate Sense 2:**
    *   *Definition:* "the act of subtracting (removing a part from the whole)"
    *   *Synonyms:* deduction
    *   *Examples:* "he complained about the subtraction of money from their paychecks"
    *   *Fit:* This sense implies taking something away from a whole, often in a non-mathematical or financial context (like payroll deduction). While mathematically related, the specific context of listing operators in a math software corresponds to the formal arithmetic operation (Sense 1), not the general act of removal or deduction.

5.  **Comparison:**
    *   Sense 1 is the specific mathematical operation.
    *   Sense 2 is the act of removal/deduction.
    *   The context is explicitly about math syntax ("+ - * /", "functions", "calculations"). Therefore, Sense 1 is the correct choice.

6.  **Final Decision:** Sense 1.

7.  **Format Output:** `{"sense_index": 1}`


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: multiplication
Target surface form: multiplication
Context:
kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked closely to maxima and maple s syntax so they look very similar. + - * /: Addition, subtraction, <t>multiplication</t> and division. ^, **: Power, you can use them both.

Candidate senses:
1. sense_key=multiplication%1:04:01:: | definition=the act of producing offspring or multiplying by such production | synonyms=generation, propagation
2. sense_key=multiplication%1:22:00:: | definition=a multiplicative increase | examples=repeated copying leads to a multiplication of errors; this multiplication of cells is a natural correlate of growth
3. sense_key=multiplication%1:04:00:: | definition=an arithmetic operation that is the inverse of division; the product of two numbers is computed | synonyms=times | examples=the multiplication of four by three gives twelve; four times three equals twelve

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

raw_output:
```json
{"sense_index": 3}
```

content:
```json
{"sense_index": 3}
```

reasoning_content:
1.  **Analyze the Target:**
    *   Lemma: multiplication
    *   Surface form: multiplication
    *   Context: A description of the software "kalgebra", specifically explaining the syntax for mathematical operations (+, -, *, /). The specific sentence mentions: "+ - * /: Addition, subtraction, multiplication and division."

2.  **Analyze the Context:**
    *   The text is about a mathematical software tool (Kalgebra).
    *   It lists arithmetic operators.
    *   "Addition, subtraction, multiplication and division" is a standard list of the four basic arithmetic operations.
    *   The symbol associated with it in the text is "*".

3.  **Analyze the Candidate Senses:**
    *   **Sense 1:** `multiplication%1:04:01::` -> Definition: "the act of producing offspring or multiplying by such production". Synonyms: generation, propagation.
        *   *Fit:* This is biological. The context is mathematical software. No fit.
    *   **Sense 2:** `multiplication%1:22:00::` -> Definition: "a multiplicative increase". Examples: "multiplication of errors", "multiplication of cells".
        *   *Fit:* This refers to an increase or proliferation of things (errors, cells). The context refers to a specific mathematical operation alongside addition and subtraction. No fit.
    *   **Sense 3:** `multiplication%1:04:00::` -> Definition: "an arithmetic operation that is the inverse of division; the product of two numbers is computed". Synonyms: times. Examples: "the multiplication of four by three gives twelve".
        *   *Fit:* This is the mathematical operation. The context explicitly lists it as an arithmetic operation ("Addition, subtraction, multiplication and division"). Perfect fit.

4.  **Determine the Sense Index:**
    *   Sense 1 corresponds to index 1.
    *   Sense 2 corresponds to index 2.
    *   Sense 3 corresponds to index 3.

5.  **Formulate the Output:**
    *   The correct sense is Sense 3.
    *   Output format: JSON `{"sense_index": 3}`.


[System] You are an English linguist performing fine-grained Word Sense Disambiguation. WordNet glosses are schematic. Use the sentence context, the examples, and the synonyms to choose the best indexed sense. Do not hedge. Choose the single best indexed sense.

[User]
Target lemma: division
Target surface form: division
Context:
kalgebra main window consists in a Console tab, a 2D Graph tab, a 3D Graph tab and a Dictionary tab. Below these tabs you will find an input field to type your functions or do your calculations. If we want to understand how it works, the best thing we can do is to realize that our input is being converted into MathML although it is not necessary to know MathML. I have based the syntax basically on common sense, it should not be hard for anyone. I ve looked closely to maxima and maple s syntax so they look very similar. + - * /: Addition, subtraction, multiplication and <t>division</t>. ^, **: Power, you can use them both.

Candidate senses:
1. sense_key=division%1:14:00:: | definition=an army unit large enough to sustain combat | examples=two infantry divisions were held in reserve
2. sense_key=division%1:09:00:: | definition=one of the portions into which something is regarded as divided and which together constitute a whole | synonyms=part, section | examples=the written part of the exam; the finance section of the company
3. sense_key=division%1:04:00:: | definition=the act or process of dividing
4. sense_key=division%1:14:03:: | definition=an administrative unit in government or business
5. sense_key=division%1:10:00:: | definition=discord that splits a group | synonyms=variance
6. sense_key=division%1:14:06:: | definition=a league ranked by quality | synonyms=class | examples=he played baseball in class D for two years; Princeton is in the NCAA Division 1-AA
7. sense_key=division%1:14:05:: | definition=(biology) a group of organisms forming a subdivision of a larger category
8. sense_key=division%1:14:04:: | definition=(botany) taxonomic unit of plants corresponding to a phylum
9. sense_key=division%1:14:02:: | definition=a unit of the United States Air Force usually comprising two or more wings | synonyms=air division
10. sense_key=division%1:14:01:: | definition=a group of ships of similar type | synonyms=naval division
11. sense_key=division%1:04:01:: | definition=an arithmetic operation that is the inverse of multiplication; the quotient of two numbers is computed
12. sense_key=division%1:04:02:: | definition=the act of dividing or partitioning; separation by the creation of a boundary that divides or keeps apart | synonyms=partition, partitioning, segmentation, sectionalization, sectionalisation

Instructions:
1. Choose the single best indexed sense for the target word in context.
2. WordNet glosses are schematic; use the context, synonyms, and examples together.
3. Do not answer with a WordNet sense key.
4. Return only a JSON object exactly like {"sense_index": 3}.

raw_output: sense_index": 11}

content: sense_index": 11}

reasoning_content:
1.  **Analyze the target word and context:**
    *   Target lemma: division
    *   Context snippet: "+ - * /: Addition, subtraction, multiplication and <t>division</t>. ^, **: Power, you can use them both."
    *   This context is from a software manual (Kalgebra). It lists mathematical operators:
        *   `+` -> Addition
        *   `-` -> Subtraction
        *   `*` -> Multiplication
        *   `/` -> Division
    *   The target word "division" clearly refers to the mathematical operation of dividing numbers.

2.  **Evaluate the candidate senses:**

    *   **Sense 1 (division%1:14:00::):** "an army unit large enough to sustain combat" -> Incorrect context (military).
    *   **Sense 2 (division%1:09:00::):** "one of the portions into which something is regarded as divided..." -> Incorrect context (part/section of of dividing" -> This is a generic definition for the physical act of dividing, not specifically the arithmetic operation. While mathematically related, it's not the specific "arithmetic operation" sense.
    *   **Sense 4 (division%1:14:03::):** "an administrative unit in government or business" -> Incorrect context (business/gov).
    *   **Sense 5 (division%1:10:00::):** "discord that splits a group" -> Incorrect context (social conflict).
    *   **Sense 6 (division%1:14:06::):** "a league ranked by quality" -> Incorrect context (sports).
    *   **Sense 7 a group of organisms..." -> Incorrect context (biology).
    *   **Sense 8 (division%1:14:04::):** "(botany) taxonomic unit..." -> Incorrect context (botany).
    *   **Sense 9 (division%1:14:02::):** "a unit of the United States Air Force..." -> Incorrect context (military).
    *   **Sense 10 (division%1:14:01::):** "a group of ships of similar type" -> Incorrect context (naval).
    *   **Sense 11 (division%1:04:01::):** "an arithmetic operation that is the inverse of multiplication; the quotient of two numbers is computed" -> **Correct.** The context lists mathematical operations (+, -, *, /). "Division" here is paired with Addition, Subtraction, and Multiplication. This definition explicitly mentions "arithmetic operation" and "inverse of multiplication".
    *   **Sense 12 (division%1:04:02::):** "the act of dividing or partitioning; separation by the creation of a boundary..." -> Incorrect context (physical partitioning).

3.  **Select the best match:**
    *   Sense 11 matches the context of arithmetic operations perfectly.

4.  **Format the output:**
    *   The instruction asks to return a JSON object like `{"sense_index": 3}`.
    *   Since the list starts at 1, Sense 11 is the 11th item.

    Result: `{"sense_index": 11}`.