Respan Dataset Explorer

Select one behavior. Every returned turn has one binary label: Present or Absent. Source: final dense boolean release.

5,167,182physical rows
86shards
0.00%qualified row coverage
0.00%qualified cell coverage
Random row JSON API

turns-00085.parquet:43283

84727083f9699e3354a4a0cd
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia341 words
degenerate_repetitionAbsentFinal dense release
USER
You are an expert system that converts a user's natural language question into a structured JSON query plan.
Your ONLY job is to return a single, valid JSON object that strictly follows the schema.

---
**SCHEMA DEFINITION:**
{
    "question_type": "The type of question (WHO, WHAT, WHEN_START, WHEN_END, VERIFY).",
    "entities": [{ "name": "Name of the entity", "type": "Type of the entity (optional)" }],
    "relationship": { "type": "The type of relationship (e.g., CEO_OF)", "direction": "Direction from the entity's perspective ('from' or 'to')" },
    "time_constraint": { "year": YYYY, "date": "YYYY-MM-DD" }
}
---
**INSTRUCTIONS & EXAMPLES:**

1.  **WHO/WHAT questions:**
    -   Question: "Who was the CEO of Stellar Dynamics in 2022?"
    -   JSON:
        {
            "question_type": "WHO",
            "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "to" },
            "time_constraint": { "year": 2022 }
        }

2.  **WHEN questions (start and end):**
    -   Question: "When did Maria Flores become CEO?"
    -   JSON:
        {
            "question_type": "WHEN_START",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }
    -   **FIXED**: Question: "When did Maria Flores stop being CEO of Stellar Dynamics?"
    -   JSON:
        {
            "question_type": "WHEN_END",
            "entities": [
                { "name": "Maria Flores", "type": "Person" },
                { "name": "Stellar Dynamics", "type": "Company" }
            ],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }


3.  **VERIFY questions (Is/Was/Are/Did):**
    -   Question: "Was Maria Flores the CEO of Stellar Dynamics in 2023?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }, { "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "from" },
            "time_constraint": { "year": 2023 }
        }
    -   Question: "Is Maria Flores the CEO now?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }

---
Now, strictly follow all rules and the schema to create a query plan for the following question.

Question: "Who was the CEO of Stellar Dynamics in 2022?"
ASSISTANT
{
  "question_type": "WHO",
  "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
  "relationship": { "type": "CEO_OF", "direction": "to" },
  "time_constraint": { "year": 2022 }
}

turns-00085.parquet:43284

fa68ef7c8d2f0cf1dfd8d4e7
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia103 words
degenerate_repetitionAbsentFinal dense release
USER
You are a helpful AI assistant. You will be given a user's question and the raw data results from a knowledge graph query.
Your task is to synthesize this information into a clear, concise, and natural-sounding answer.
If the data is empty or contains no relevant information, state that you could not find an answer.
If the data contains a boolean value, answer the question directly (e.g., "Yes" or "No").

---
User's Question: Who was the CEO of Stellar Dynamics in 2022?
---
Data from Knowledge Graph:
[{"result": "Maria Flores"}]
---

Final Answer:
ASSISTANT
The CEO of Stellar Dynamics in 2022 was Maria Flores.

turns-00085.parquet:43285

41e2824c47f97a0a46d1c926
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia341 words
degenerate_repetitionAbsentFinal dense release
USER
You are an expert system that converts a user's natural language question into a structured JSON query plan.
Your ONLY job is to return a single, valid JSON object that strictly follows the schema.

---
**SCHEMA DEFINITION:**
{
    "question_type": "The type of question (WHO, WHAT, WHEN_START, WHEN_END, VERIFY).",
    "entities": [{ "name": "Name of the entity", "type": "Type of the entity (optional)" }],
    "relationship": { "type": "The type of relationship (e.g., CEO_OF)", "direction": "Direction from the entity's perspective ('from' or 'to')" },
    "time_constraint": { "year": YYYY, "date": "YYYY-MM-DD" }
}
---
**INSTRUCTIONS & EXAMPLES:**

1.  **WHO/WHAT questions:**
    -   Question: "Who was the CEO of Stellar Dynamics in 2022?"
    -   JSON:
        {
            "question_type": "WHO",
            "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "to" },
            "time_constraint": { "year": 2022 }
        }

2.  **WHEN questions (start and end):**
    -   Question: "When did Maria Flores become CEO?"
    -   JSON:
        {
            "question_type": "WHEN_START",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }
    -   **FIXED**: Question: "When did Maria Flores stop being CEO of Stellar Dynamics?"
    -   JSON:
        {
            "question_type": "WHEN_END",
            "entities": [
                { "name": "Maria Flores", "type": "Person" },
                { "name": "Stellar Dynamics", "type": "Company" }
            ],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }


3.  **VERIFY questions (Is/Was/Are/Did):**
    -   Question: "Was Maria Flores the CEO of Stellar Dynamics in 2023?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }, { "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "from" },
            "time_constraint": { "year": 2023 }
        }
    -   Question: "Is Maria Flores the CEO now?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }

---
Now, strictly follow all rules and the schema to create a query plan for the following question.

Question: "Who is the CEO of Stellar Dynamics in 2025?"
ASSISTANT
{
    "question_type": "WHO",
    "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
    "relationship": { "type": "CEO_OF", "direction": "to" },
    "time_constraint": { "year": 2025 }
}

turns-00085.parquet:43286

021c6ea09ac4569fb9aa1e1d
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia345 words
degenerate_repetitionAbsentFinal dense release
USER
You are an expert system that converts a user's natural language question into a structured JSON query plan.
Your ONLY job is to return a single, valid JSON object that strictly follows the schema.

---
**SCHEMA DEFINITION:**
{
    "question_type": "The type of question (WHO, WHAT, WHEN_START, WHEN_END, VERIFY).",
    "entities": [{ "name": "Name of the entity", "type": "Type of the entity (optional)" }],
    "relationship": { "type": "The type of relationship (e.g., CEO_OF)", "direction": "Direction from the entity's perspective ('from' or 'to')" },
    "time_constraint": { "year": YYYY, "date": "YYYY-MM-DD" }
}
---
**INSTRUCTIONS & EXAMPLES:**

1.  **WHO/WHAT questions:**
    -   Question: "Who was the CEO of Stellar Dynamics in 2022?"
    -   JSON:
        {
            "question_type": "WHO",
            "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "to" },
            "time_constraint": { "year": 2022 }
        }

2.  **WHEN questions (start and end):**
    -   Question: "When did Maria Flores become CEO?"
    -   JSON:
        {
            "question_type": "WHEN_START",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }
    -   **FIXED**: Question: "When did Maria Flores stop being CEO of Stellar Dynamics?"
    -   JSON:
        {
            "question_type": "WHEN_END",
            "entities": [
                { "name": "Maria Flores", "type": "Person" },
                { "name": "Stellar Dynamics", "type": "Company" }
            ],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }


3.  **VERIFY questions (Is/Was/Are/Did):**
    -   Question: "Was Maria Flores the CEO of Stellar Dynamics in 2023?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }, { "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "from" },
            "time_constraint": { "year": 2023 }
        }
    -   Question: "Is Maria Flores the CEO now?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }

---
Now, strictly follow all rules and the schema to create a query plan for the following question.

Question: "When did Maria Flores become CEO of Stellar Dynamics?"
ASSISTANT
{
    "question_type": "WHEN_START",
    "entities": [
        { "name": "Maria Flores", "type": "Person" },
        { "name": "Stellar Dynamics", "type": "Company" }
    ],
    "relationship": { "type": "CEO_OF", "direction": "from" }
}

turns-00085.parquet:43287

f28478a046dc8ff0aa987898
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia103 words
degenerate_repetitionAbsentFinal dense release
USER
You are a helpful AI assistant. You will be given a user's question and the raw data results from a knowledge graph query.
Your task is to synthesize this information into a clear, concise, and natural-sounding answer.
If the data is empty or contains no relevant information, state that you could not find an answer.
If the data contains a boolean value, answer the question directly (e.g., "Yes" or "No").

---
User's Question: When did Maria Flores become CEO of Stellar Dynamics?
---
Data from Knowledge Graph:
[{"result": "2021-03-01T09:00:00+00:00"}]
---

Final Answer:
ASSISTANT
Maria Flores became CEO of Stellar Dynamics on March 1, 2021.

turns-00085.parquet:43288

d12b673865a0cd390e0f18c5
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia335 words
degenerate_repetitionAbsentFinal dense release
USER
You are an expert system that converts a user's natural language question into a structured JSON query plan.
Your ONLY job is to return a single, valid JSON object that strictly follows the schema.

---
**SCHEMA DEFINITION:**
{
    "question_type": "The type of question (WHO, WHAT, WHEN_START, WHEN_END, VERIFY).",
    "entities": [{ "name": "Name of the entity", "type": "Type of the entity (optional)" }],
    "relationship": { "type": "The type of relationship (e.g., CEO_OF)", "direction": "Direction from the entity's perspective ('from' or 'to')" },
    "time_constraint": { "year": YYYY, "date": "YYYY-MM-DD" }
}
---
**INSTRUCTIONS & EXAMPLES:**

1.  **WHO/WHAT questions:**
    -   Question: "Who was the CEO of Stellar Dynamics in 2022?"
    -   JSON:
        {
            "question_type": "WHO",
            "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "to" },
            "time_constraint": { "year": 2022 }
        }

2.  **WHEN questions (start and end):**
    -   Question: "When did Maria Flores become CEO?"
    -   JSON:
        {
            "question_type": "WHEN_START",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }
    -   **FIXED**: Question: "When did Maria Flores stop being CEO of Stellar Dynamics?"
    -   JSON:
        {
            "question_type": "WHEN_END",
            "entities": [
                { "name": "Maria Flores", "type": "Person" },
                { "name": "Stellar Dynamics", "type": "Company" }
            ],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }


3.  **VERIFY questions (Is/Was/Are/Did):**
    -   Question: "Was Maria Flores the CEO of Stellar Dynamics in 2023?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }, { "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "from" },
            "time_constraint": { "year": 2023 }
        }
    -   Question: "Is Maria Flores the CEO now?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }

---
Now, strictly follow all rules and the schema to create a query plan for the following question.

Question: "When did Maria Flores stop being the CEO?"
ASSISTANT
{
    "question_type": "WHEN_END",
    "entities": [{ "name": "Maria Flores", "type": "Person" }],
    "relationship": { "type": "CEO_OF", "direction": "from" }
}

turns-00085.parquet:43289

976cbb8984d11aec278df37f
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia101 words
degenerate_repetitionAbsentFinal dense release
USER
You are a helpful AI assistant. You will be given a user's question and the raw data results from a knowledge graph query.
Your task is to synthesize this information into a clear, concise, and natural-sounding answer.
If the data is empty or contains no relevant information, state that you could not find an answer.
If the data contains a boolean value, answer the question directly (e.g., "Yes" or "No").

---
User's Question: When did Maria Flores stop being the CEO?
---
Data from Knowledge Graph:
[{"result": "2024-06-30T00:00:00+00:00"}]
---

Final Answer:
ASSISTANT
Maria Flores stopped being the CEO on June 30, 2024.

turns-00085.parquet:43290

eb96e8aa705dd465848dfd40
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia353 words
degenerate_repetitionAbsentFinal dense release
USER
You are an expert system that converts a user's natural language question into a structured JSON query plan.
Your ONLY job is to return a single, valid JSON object that strictly follows the schema.

---
**SCHEMA DEFINITION:**
{
    "question_type": "The type of question (WHO, WHAT, WHEN_START, WHEN_END, VERIFY).",
    "entities": [{ "name": "Name of the entity", "type": "Type of the entity (optional)" }],
    "relationship": { "type": "The type of relationship (e.g., CEO_OF)", "direction": "Direction from the entity's perspective ('from' or 'to')" },
    "time_constraint": { "year": YYYY, "date": "YYYY-MM-DD" }
}
---
**INSTRUCTIONS & EXAMPLES:**

1.  **WHO/WHAT questions:**
    -   Question: "Who was the CEO of Stellar Dynamics in 2022?"
    -   JSON:
        {
            "question_type": "WHO",
            "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "to" },
            "time_constraint": { "year": 2022 }
        }

2.  **WHEN questions (start and end):**
    -   Question: "When did Maria Flores become CEO?"
    -   JSON:
        {
            "question_type": "WHEN_START",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }
    -   **FIXED**: Question: "When did Maria Flores stop being CEO of Stellar Dynamics?"
    -   JSON:
        {
            "question_type": "WHEN_END",
            "entities": [
                { "name": "Maria Flores", "type": "Person" },
                { "name": "Stellar Dynamics", "type": "Company" }
            ],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }


3.  **VERIFY questions (Is/Was/Are/Did):**
    -   Question: "Was Maria Flores the CEO of Stellar Dynamics in 2023?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }, { "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "from" },
            "time_constraint": { "year": 2023 }
        }
    -   Question: "Is Maria Flores the CEO now?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }

---
Now, strictly follow all rules and the schema to create a query plan for the following question.

Question: "Was Maria Flores the CEO of Stellar Dynamics in 2023?"
ASSISTANT
```json
{
    "question_type": "VERIFY",
    "entities": [
        { "name": "Maria Flores", "type": "Person" },
        { "name": "Stellar Dynamics", "type": "Company" }
    ],
    "relationship": { "type": "CEO_OF", "direction": "from" },
    "time_constraint": { "year": 2023 }
}
```

turns-00085.parquet:43291

a0281b2a48c42152df83bd20
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia345 words
degenerate_repetitionAbsentFinal dense release
USER
You are an expert system that converts a user's natural language question into a structured JSON query plan.
Your ONLY job is to return a single, valid JSON object that strictly follows the schema.

---
**SCHEMA DEFINITION:**
{
    "question_type": "The type of question (WHO, WHAT, WHEN_START, WHEN_END, VERIFY).",
    "entities": [{ "name": "Name of the entity", "type": "Type of the entity (optional)" }],
    "relationship": { "type": "The type of relationship (e.g., CEO_OF)", "direction": "Direction from the entity's perspective ('from' or 'to')" },
    "time_constraint": { "year": YYYY, "date": "YYYY-MM-DD" }
}
---
**INSTRUCTIONS & EXAMPLES:**

1.  **WHO/WHAT questions:**
    -   Question: "Who was the CEO of Stellar Dynamics in 2022?"
    -   JSON:
        {
            "question_type": "WHO",
            "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "to" },
            "time_constraint": { "year": 2022 }
        }

2.  **WHEN questions (start and end):**
    -   Question: "When did Maria Flores become CEO?"
    -   JSON:
        {
            "question_type": "WHEN_START",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }
    -   **FIXED**: Question: "When did Maria Flores stop being CEO of Stellar Dynamics?"
    -   JSON:
        {
            "question_type": "WHEN_END",
            "entities": [
                { "name": "Maria Flores", "type": "Person" },
                { "name": "Stellar Dynamics", "type": "Company" }
            ],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }


3.  **VERIFY questions (Is/Was/Are/Did):**
    -   Question: "Was Maria Flores the CEO of Stellar Dynamics in 2023?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }, { "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "from" },
            "time_constraint": { "year": 2023 }
        }
    -   Question: "Is Maria Flores the CEO now?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }

---
Now, strictly follow all rules and the schema to create a query plan for the following question.

Question: "Is Maria Flores the CEO of Stellar Dynamics now?"
ASSISTANT
{
    "question_type": "VERIFY",
    "entities": [
        { "name": "Maria Flores", "type": "Person" },
        { "name": "Stellar Dynamics", "type": "Company" }
    ],
    "relationship": { "type": "CEO_OF", "direction": "from" }
}

turns-00085.parquet:43292

9368f0f7f4b762d725634a00
turn 1/1gpt-4.1-mini-2025-04-14EnglishIndia332 words
degenerate_repetitionAbsentFinal dense release
USER
You are an expert system that converts a user's natural language question into a structured JSON query plan.
Your ONLY job is to return a single, valid JSON object that strictly follows the schema.

---
**SCHEMA DEFINITION:**
{
    "question_type": "The type of question (WHO, WHAT, WHEN_START, WHEN_END, VERIFY).",
    "entities": [{ "name": "Name of the entity", "type": "Type of the entity (optional)" }],
    "relationship": { "type": "The type of relationship (e.g., CEO_OF)", "direction": "Direction from the entity's perspective ('from' or 'to')" },
    "time_constraint": { "year": YYYY, "date": "YYYY-MM-DD" }
}
---
**INSTRUCTIONS & EXAMPLES:**

1.  **WHO/WHAT questions:**
    -   Question: "Who was the CEO of Stellar Dynamics in 2022?"
    -   JSON:
        {
            "question_type": "WHO",
            "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "to" },
            "time_constraint": { "year": 2022 }
        }

2.  **WHEN questions (start and end):**
    -   Question: "When did Maria Flores become CEO?"
    -   JSON:
        {
            "question_type": "WHEN_START",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }
    -   **FIXED**: Question: "When did Maria Flores stop being CEO of Stellar Dynamics?"
    -   JSON:
        {
            "question_type": "WHEN_END",
            "entities": [
                { "name": "Maria Flores", "type": "Person" },
                { "name": "Stellar Dynamics", "type": "Company" }
            ],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }


3.  **VERIFY questions (Is/Was/Are/Did):**
    -   Question: "Was Maria Flores the CEO of Stellar Dynamics in 2023?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }, { "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "from" },
            "time_constraint": { "year": 2023 }
        }
    -   Question: "Is Maria Flores the CEO now?"
    -   JSON:
        {
            "question_type": "VERIFY",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }

---
Now, strictly follow all rules and the schema to create a query plan for the following question.

Question: "What is the capital of France?"
ASSISTANT
{
    "question_type": "WHAT",
    "entities": [{ "name": "France", "type": "Country" }],
    "relationship": { "type": "CAPITAL_OF", "direction": "to" }
}