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 stringlengths 9 15 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.33k | query stringlengths 86 213 | entity_a stringlengths 5 22 | entity_b stringlengths 4 48 | rel_b stringlengths 6 28 | prompt stringlengths 3.54k 3.73k | index int64 0 19 | raw_responses stringlengths 2 24.2k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q1352656",
"P166",
"Q935843"
] | [
"Q356715",
"P166",
"Q935843"
] | [
"Q356715",
"P358",
"Q100871850"
] | [
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"discography",
"Benny Carter discography"
] | Q935843__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 Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? | Morton Gould | Benny Carter discography | discography | Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relatio... | 0 | {"final_response": "```json\n{\n \"1\": [\n [\"Morton Gould\", \"awarded\", \"Kennedy Center Honors\"],\n [\"Kennedy Center Honors\", \"awarded to\", \"Benny Carter\"],\n [\"Benny Carter\", \"discography\", \"Benny Carter discography\"]\n ],\n \"2\": [\n [\"Morton Gould\", \"awarded\", \"Grammy Lifetime ... |
[
"Q57067",
"P166",
"Q38104"
] | [
"Q131729",
"P166",
"Q38104"
] | [
"Q131729",
"P106",
"Q593644"
] | [
"Max von Laue",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"occupation",
"chemist"
] | Q38104__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 Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist? | Max von Laue | chemist | occupation | Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual t... | 1 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Max von Laue\", \"buried at\", \"Stadtfriedhof G\u00f6ttingen\"],\n [\"Stadtfriedhof G\u00f6ttingen\", \"place of burial of\", \"Walther Nernst\"],\n [\"Walther Nernst\", \"occupation\", \"chemist\"]\n ],\n \"2\": [\n [\"Max von Laue\", \"won award\", \"Max... |
[
"Q2085",
"P161",
"Q164328"
] | [
"Q2085",
"P161",
"Q174263"
] | [
"Q174263",
"P19",
"Q268873"
] | [
"Twin Peaks",
"cast member",
"David Koechner"
] | [
"Twin Peaks",
"cast member",
"Rodney Rowland"
] | [
"Rodney Rowland",
"place of birth",
"Newport Beach"
] | Q2085__P161 | 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 David Koechner, the American actor and comedian, and someone who was born in Newport Beach? | David Koechner | Newport Beach | place of birth | Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?
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 c... | 2 | {"final_response": "```json\n{\n \"1\": [\n [\n \"David Koechner\",\n \"cast member of\",\n \"Anchorman: The Legend of Ron Burgundy\"\n ],\n [\n \"Anchorman: The Legend of Ron Burgundy\",\n \"cast member\",\n \"Christina Applegate\"\n ],\n [\n \"Christina Applegate\",\... |
[
"Q18037479",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2548",
"Q22809711"
] | [
"CD2AP",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"strand orientation",
"reverse strand"
] | 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 CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation? | CD2AP | reverse strand | strand orientation | Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation?
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)... | 3 | {"final_response": "<answer>\n{\n \"1\": [\n [\"CD2AP\", \"interacts with\", \"PIK3R1\"],\n [\"PIK3R1\", \"strand orientation\", \"reverse strand\"]\n ],\n \"2\": [\n [\"CD2AP\", \"interacts with\", \"CD2\"],\n [\"CD2\", \"strand orientation\", \"reverse strand\"]\n ],\n \"3\": [\n [\"CD2AP\", \"int... |
[
"Q283572",
"P463",
"Q254138"
] | [
"Q316136",
"P463",
"Q254138"
] | [
"Q316136",
"P19",
"Q39709"
] | [
"Kun Nong",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"place of birth",
"Des Moines"
] | Q254138__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 Kun Nong and someone who was born in Des Moines? | Kun Nong | Des Moines | place of birth | Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?
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 chain that begins with one entity... | 4 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Kun Nong\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"has member\", \"Shawn Crahan\"],\n [\"Shawn Crahan\", \"place of birth\", \"Des Moines\"]\n ],\n \"2\": [\n [\"Kun Nong\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"has member\", \"Joey ... |
[
"Q423327",
"P2175",
"Q12199"
] | [
"Q422654",
"P2175",
"Q12199"
] | [
"Q422654",
"P769",
"Q898407"
] | [
"enfuvirtide",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"significant drug interaction",
"venlafaxine"
] | 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 enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine? | enfuvirtide | venlafaxine | significant drug interaction | Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rela... | 5 | {"final_response": "```json\n{\n \"1\": [\n [\"enfuvirtide\", \"developed by\", \"Roche\"],\n [\"Roche\", \"developed\", \"moclobemide\"],\n [\"moclobemide\", \"significant drug interaction\", \"venlafaxine\"]\n ],\n \"2\": [\n [\"enfuvirtide\", \"developed by\", \"Roche\"],\n [\"Roche\", \"developed\... |
[
"Q77462",
"P463",
"Q32645"
] | [
"Q95556",
"P463",
"Q32645"
] | [
"Q95556",
"P451",
"Q551050"
] | [
"Bela B",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"unmarried partner",
"Anja Caspary"
] | Q32645__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 Bela B, the German musician, and someone who is the unmarried partner of Hagen Liebing? | Bela B | Anja Caspary | unmarried partner | Query: What are different ways of connecting Bela B, the German musician, and someone who is the unmarried partner of Hagen Liebing?
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 conti... | 6 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Bela B\", \"bandmate\", \"Hagen Liebing\"],\n [\"Hagen Liebing\", \"unmarried partner\", \"Anja Caspary\"]\n ],\n \"2\": [\n [\"Bela B\", \"member of\", \"Die \u00c4rzte\"],\n [\"Die \u00c4rzte\", \"member\", \"Hagen Liebing\"],\n [\"Hagen Liebing\", \"u... |
[
"Q651253",
"P40",
"Q1268"
] | [
"Q9356382",
"P40",
"Q1268"
] | [
"Q9356382",
"P22",
"Q11716498"
] | [
"Nicolas Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"father",
"Jakub Krzyżanowski"
] | Q1268__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 Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski? | Nicolas Chopin | Jakub Krzyżanowski | father | Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski?
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 chain that be... | 7 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Nicolas Chopin\", \"spouse\", \"Justyna Krzy\u017canowska\"],\n [\"Justyna Krzy\u017canowska\", \"father\", \"Jakub Krzy\u017canowski\"]\n ],\n \"2\": [\n [\"Nicolas Chopin\", \"father of\", \"Fr\u00e9d\u00e9ric Chopin\"],\n [\"Fr\u00e9d\u00e9ric Chopin\", ... |
[
"Q23505",
"P40",
"Q207"
] | [
"Q190628",
"P40",
"Q207"
] | [
"Q190628",
"P39",
"Q7166256"
] | [
"George H. W. Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"position held",
"First Lady of the United States"
] | Q207__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 George H. W. Bush, the 41st President of the United States, and someone who held the position of First Lady of the United States? | George H. W. Bush | First Lady of the United States | position held | Query: What are different ways of connecting George H. W. Bush, the 41st President of the United States, and someone who held the position of First Lady of the United States?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples ... | 8 | {"final_response": "<answer>\n{\n \"1\": [\n [\"George H. W. Bush\", \"spouse\", \"Barbara Bush\"],\n [\"Barbara Bush\", \"position held\", \"First Lady of the United States\"]\n ],\n \"2\": [\n [\"George H. W. Bush\", \"father of\", \"George W. Bush\"],\n [\"George W. Bush\", \"spouse\", \"Laura Bush\"]... |
[
"Q18037778",
"P2293",
"Q131755"
] | [
"Q18046338",
"P2293",
"Q131755"
] | [
"Q18046338",
"P5572",
"Q64386"
] | [
"INTS7",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"expressed in",
"gallbladder"
] | Q131755__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 INTS7, a protein involved in various cellular processes, and a substance that is expressed in the gallbladder? | INTS7 | gallbladder | expressed in | Query: What are different ways of connecting INTS7, a protein involved in various cellular processes, and a substance that is expressed in the gallbladder?
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... | 9 | {"final_response": "<answer>\n{\n \"1\": [\n [\"INTS7\", \"expressed in\", \"gallbladder\"]\n ],\n \"2\": [\n [\"INTS7\", \"interacts with\", \"POLR2A\"],\n [\"POLR2A\", \"expressed in\", \"gallbladder\"]\n ],\n \"3\": [\n [\"INTS7\", \"interacts with\", \"INTS1\"],\n [\"INTS1\", \"expressed in\", \... |
[
"Q47703",
"P161",
"Q960676"
] | [
"Q47703",
"P161",
"Q786720"
] | [
"Q786720",
"P19",
"Q18419"
] | [
"The Godfather",
"cast member",
"Joe Spinell"
] | [
"The Godfather",
"cast member",
"Richard Bright"
] | [
"Richard Bright",
"place of birth",
"Brooklyn"
] | Q47703__P161 | 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 Joe Spinell, the American actor, and someone who was born in Brooklyn? | Joe Spinell | Brooklyn | place of birth | Query: What are different ways of connecting Joe Spinell, the American actor, and someone who was born in Brooklyn?
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 chain that ... | 10 | {"final_response": "```json\n{\n \"1\": [\n [\"Joe Spinell\", \"acted in\", \"Taxi Driver\"],\n [\"Harvey Keitel\", \"acted in\", \"Taxi Driver\"],\n [\"Harvey Keitel\", \"place of birth\", \"Brooklyn\"]\n ],\n \"2\": [\n [\"Joe Spinell\", \"acted in\", \"The Godfather\"],\n [\"Abe Vigoda\", \"acted i... |
End of preview. Expand in Data Studio
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-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 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:
high
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
0 - End Index:
20
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s0__e20__original__1__high__0.7__16384__gemini-3_1-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("s0_e20_original_1_high_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 21:59:11 using the inference pipeline with the above configuration.
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