triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringclasses 8
values | keep_triple bool 1
class | query_prompt stringclasses 10
values | query stringclasses 10
values | entity_a stringclasses 10
values | entity_b stringclasses 10
values | rel_b stringclasses 10
values | prompt stringclasses 10
values | raw_responses stringclasses 10
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q18051063",
"P2293",
"Q11081"
] | [
"Q18036665",
"P2293",
"Q11081"
] | [
"Q18036665",
"P5572",
"Q5407200"
] | [
"MPP7",
"genetic association",
"Alzheimer's disease"
] | [
"MYO16",
"genetic association",
"Alzheimer's disease"
] | [
"MYO16",
"expressed in",
"middle temporal gyrus"
] | Q11081__P2293 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting MPP7, a protein involved in cellular processes, and a substance that is expressed in the middle temporal gyrus? | MPP7 | middle temporal gyrus | expressed in | Query: What are different ways of connecting MPP7, a protein involved in cellular processes, and a substance that is expressed in the middle temporal gyrus?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationshi... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"MPP7\",\n \"expressed in\",\n \"middle temporal gyrus\"\n ]\n ],\n \"2\": [\n [\n \"MPP7\",\n \"physically interacts with\",\n \"DLG1\"\n ],\n [\n \"DLG1\",\n \"expressed in\",\n \"mi... |
[
"Q27106078",
"P2175",
"Q41861"
] | [
"Q425289",
"P2175",
"Q41861"
] | [
"Q425289",
"P769",
"Q409231"
] | [
"carteolol hydrochloride",
"medical condition treated",
"arterial hypertension"
] | [
"chlorthalidone",
"medical condition treated",
"arterial hypertension"
] | [
"chlorthalidone",
"significant drug interaction",
"indomethacin"
] | Q41861__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting carteolol hydrochloride, a medication, and a substance that has a significant drug interaction with indomethacin? | carteolol hydrochloride | indomethacin | significant drug interaction | Query: What are different ways of connecting carteolol hydrochloride, a medication, and a substance that has a significant drug interaction with indomethacin?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relations... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"carteolol hydrochloride\",\n \"is active ingredient of\",\n \"Ocupress\"\n ],\n [\n \"Ocupress\",\n \"has significant drug interaction\",\n \"indomethacin\"\n ]\n ],\n \"2\": [\n [\n \"carteolo... |
[
"Q1078392",
"P2175",
"Q41861"
] | [
"Q5613542",
"P2175",
"Q41861"
] | [
"Q5613542",
"P129",
"Q4734892"
] | [
"indapamide",
"medical condition treated",
"arterial hypertension"
] | [
"guanabenz",
"medical condition treated",
"arterial hypertension"
] | [
"guanabenz",
"physically interacts with",
"Adrenoceptor alpha 2A"
] | Q41861__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting indapamide, a medication used to treat high blood pressure, and a substance that physically interacts with the adrenoceptor alpha 2A? | indapamide | Adrenoceptor alpha 2A | physically interacts with | Query: What are different ways of connecting indapamide, a medication used to treat high blood pressure, and a substance that physically interacts with the adrenoceptor alpha 2A?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual trip... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"indapamide\",\n \"treats\",\n \"Hypertension\"\n ],\n [\n \"Hypertension\",\n \"treated by\",\n \"Clonidine\"\n ],\n [\n \"Clonidine\",\n \"physically interacts with\",\n \"Adrenoceptor... |
[
"Q2158789",
"P166",
"Q17144"
] | [
"Q179051",
"P166",
"Q17144"
] | [
"Q179051",
"P106",
"Q28389"
] | [
"Robert S. Strauss",
"award received",
"Presidential Medal of Freedom"
] | [
"Kareem Abdul-Jabbar",
"award received",
"Presidential Medal of Freedom"
] | [
"Kareem Abdul-Jabbar",
"occupation",
"screenwriter"
] | Q17144__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Robert S. Strauss, a notable figure in American politics, and someone who is known for their work as a screenwriter? | Robert S. Strauss | screenwriter | occupation | Query: What are different ways of connecting Robert S. Strauss, a notable figure in American politics, and someone who is known for their work as a screenwriter?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relati... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Robert S. Strauss\",\n \"founded\",\n \"Akin Gump Strauss Hauer & Feld\"\n ],\n [\n \"Akin Gump Strauss Hauer & Feld\",\n \"employed\",\n \"Vernon Jordan\"\n ],\n [\n \"Vernon Jordan\",\n \"... |
[
"Q1124",
"P39",
"Q11696"
] | [
"Q6279",
"P39",
"Q11696"
] | [
"Q6279",
"P166",
"Q23058092"
] | [
"Bill Clinton",
"position held",
"President of the United States"
] | [
"Joe Biden",
"position held",
"President of the United States"
] | [
"Joe Biden",
"award received",
"Grand Cross with collar of the Order of Vytautas the Great"
] | Q11696__P39 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Bill Clinton, the former President of the United States, and someone who has received the Grand Cross with collar of the Order of Vytautas the Great? | Bill Clinton | Grand Cross with collar of the Order of Vytautas the Great | award received | Query: What are different ways of connecting Bill Clinton, the former President of the United States, and someone who has received the Grand Cross with collar of the Order of Vytautas the Great?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Bill Clinton\",\n \"award received\",\n \"Grand Cross with collar of the Order of Vytautas the Great\"\n ]\n ],\n \"2\": [\n [\n \"Bill Clinton\",\n \"spouse\",\n \"Hillary Clinton\"\n ],\n [\n ... |
[
"Q505291",
"P166",
"Q17144"
] | [
"Q945011",
"P166",
"Q17144"
] | [
"Q945011",
"P40",
"Q6253084"
] | [
"Andrew Goodpaster",
"award received",
"Presidential Medal of Freedom"
] | [
"Norman Podhoretz",
"award received",
"Presidential Medal of Freedom"
] | [
"Norman Podhoretz",
"child",
"John Podhoretz"
] | Q17144__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Andrew Goodpaster, a notable military leader, and someone who is the parent of John Podhoretz? | Andrew Goodpaster | John Podhoretz | child | Query: What are different ways of connecting Andrew Goodpaster, a notable military leader, and someone who is the parent of John Podhoretz?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming ... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Andrew Goodpaster\",\n \"position held\",\n \"Supreme Allied Commander Europe\"\n ],\n [\n \"Supreme Allied Commander Europe\",\n \"position held by\",\n \"Alexander Haig\"\n ],\n [\n \"Alexander... |
[
"Q3430918",
"P463",
"Q28963"
] | [
"Q2355882",
"P463",
"Q28963"
] | [
"Q2355882",
"P1303",
"Q79838"
] | [
"Richard Jones",
"member of",
"Stereophonics"
] | [
"Stuart Cable",
"member of",
"Stereophonics"
] | [
"Stuart Cable",
"instrument",
"accordion"
] | Q28963__P463 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Richard Jones, a musician, and someone who is known for playing the accordion? | Richard Jones | accordion | instrument | Query: What are different ways of connecting Richard Jones, a musician, and someone who is known for playing the accordion?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous cha... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Richard Jones (The Feeling)\", \"member of\", \"The Feeling\"],\n [\"The Feeling\", \"musical artist\", \"Twelve Stops and Home\"],\n [\"Twelve Stops and Home\", \"instrument\", \"accordion\"]\n ],\n \"2\": [\n [\"Richard Jones (The F... |
[
"Q295268",
"P40",
"Q353"
] | [
"Q232144",
"P40",
"Q353"
] | [
"Q232144",
"P3373",
"Q1357271"
] | [
"Alfonso VIII of Castile",
"child",
"Blanche of Castile"
] | [
"Eleanor of England",
"child",
"Blanche of Castile"
] | [
"Eleanor of England",
"sibling",
"Geoffrey"
] | Q353__P40 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Alfonso VIII of Castile, a historical king, and someone who is a sibling of Eleanor of England? | Alfonso VIII of Castile | Geoffrey | sibling | Query: What are different ways of connecting Alfonso VIII of Castile, a historical king, and someone who is a sibling of Eleanor of England?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Alfonso VIII of Castile\", \"spouse\", \"Eleanor of England\"],\n [\"Eleanor of England\", \"sibling\", \"Geoffrey\"]\n ],\n \"2\": [\n [\"Alfonso VIII of Castile\", \"spouse\", \"Eleanor of England\"],\n [\"Eleanor of England\", \"fa... |
[
"Q9576",
"P39",
"Q14211"
] | [
"Q160852",
"P39",
"Q14211"
] | [
"Q160852",
"P22",
"Q7527795"
] | [
"James Callaghan",
"position held",
"Prime Minister of the United Kingdom"
] | [
"William Ewart Gladstone",
"position held",
"Prime Minister of the United Kingdom"
] | [
"William Ewart Gladstone",
"father",
"Sir John Gladstone, 1st Baronet"
] | Q14211__P39 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting James Callaghan, the former British Prime Minister, and someone who is the father of William Ewart Gladstone? | James Callaghan | Sir John Gladstone, 1st Baronet | father | Query: What are different ways of connecting James Callaghan, the former British Prime Minister, and someone who is the father of William Ewart Gladstone?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship,... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"James Callaghan\",\n \"held position\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"Prime Minister of the United Kingdom\",\n \"position held by\",\n \"William Ewart Gladstone\"\n ],\n [\n... |
[
"Q422631",
"P2175",
"Q12199"
] | [
"Q421369",
"P2175",
"Q12199"
] | [
"Q421369",
"P3780",
"Q29004961"
] | [
"lamivudine",
"medical condition treated",
"HIV/AIDS"
] | [
"maraviroc",
"medical condition treated",
"HIV/AIDS"
] | [
"maraviroc",
"active ingredient in",
"Celsentri"
] | Q12199__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting lamivudine, a medication used to treat HIV, and a substance that is the active ingredient in Celsentri? | lamivudine | Celsentri | active ingredient in | Query: What are different ways of connecting lamivudine, a medication used to treat HIV, and a substance that is the active ingredient in Celsentri?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail)... | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"lamivudine\",\n \"medical condition treated\",\n \"HIV infection\"\n ],\n [\n \"HIV infection\",\n \"drug used for treatment\",\n \"maraviroc\"\n ],\n [\n \"maraviroc\",\n \"active ingredien... |
Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
30 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
low
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
40 - End Index:
50
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
10 - Output Filename:
connection_queries_jan12__natural__s40__e50__original__1__low__0.7__16384__gemini-3-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s40_e50_original_1_low_0.7_16384_gemini-3-pro-preview__raw")
Generation Details
This dataset was generated on 2026-01-22 13:47:42 using the inference pipeline with the above configuration.
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