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 8 19 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.36k | query stringlengths 86 180 | entity_a stringlengths 5 55 | entity_b stringlengths 4 64 | rel_b stringclasses 38
values | index int64 2 928 | prompt stringlengths 3.7k 3.87k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | all_response_tokens listlengths 1 1 | all_reasoning_tokens listlengths 1 1 | usage listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"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 | 2 | 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... | [
"<answer>{\n\"1\": [\n[\"David Koechner\", \"needs\", \"web access\"]\n]\n}"
] | [
"Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?\n\nTask: 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) form... | [
8588
] | [
8576
] | [
{
"completion_tokens": 12894,
"prompt_tokens": 774,
"total_tokens": 13668
}
] |
[
"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 | 4 | 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... | [
"<answer>{\n\"1\": [[\"Kun Nong\", \"coauthored\", \"Bill Bryson (author)\"], [\"Bill Bryson (author)\", \"place of birth\", \"Des Moines\"]],\n\"2\": [[\"Kun Nong\", \"wrote foreword for\", \"A Short History of Nearly Everything (book)\"], [\"A Short History of Nearly Everything (book)\", \"author\", \"Bill Bryson... | [
"Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTask: 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... | [
3596
] | [
3584
] | [
{
"completion_tokens": 17258,
"prompt_tokens": 763,
"total_tokens": 18021
}
] |
[
"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 | 7 | 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... | [
"<answer>{\n \"1\": [\n [\"Nicolas Chopin\", \"father\", \"Jakub Krzyżanowski\"]\n ],\n \"2\": [\n [\"Nicolas Chopin\", \"spouse\", \"Justyna Krzyżanowska\"],\n [\"Justyna Krzyżanowska\", \"daughter of\", \"Jakub Krzyżanowski\"],\n [\"Jakub Krzyżanowski\", \"son of\", \"Jan Krzyżanowski\"],\n [\"J... | [
"Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski?\n\nTask: 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 ... | [
4044
] | [
4032
] | [
{
"completion_tokens": 25289,
"prompt_tokens": 778,
"total_tokens": 26067
}
] |
[
"Q104776463",
"P58",
"Q107809789"
] | [
"Q104776463",
"P58",
"Q1904757"
] | [
"Q1904757",
"P106",
"Q33999"
] | [
"The Expedition of the Family Fox",
"screenwriter",
"Job Römer"
] | [
"The Expedition of the Family Fox",
"screenwriter",
"Nienke Römer"
] | [
"Nienke Römer",
"occupation",
"actor"
] | Q104776463__P58 | 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 Job Römer, a notable figure, and someone who is an actor? | Job Römer | actor | occupation | 18 | Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an actor?
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 o... | [
"<answer>{\n\"1\": [[\"Job Römer\", \"parent of\", \"Rutger Hauer\"], [\"Rutger Hauer\", \"occupation\", \"actor\"]],\n\"2\": [[\"Job Römer\", \"mentor of\", \"Carice van Houten\"], [\"Carice van Houten\", \"occupation\", \"actor\"]],\n\"3\": [[\"Job Römer\", \"agent of\", \"Meryl Streep\"], [\"Meryl Streep\", \"oc... | [
"Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an actor?\n\nTask: 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... | [
3660
] | [
3648
] | [
{
"completion_tokens": 21118,
"prompt_tokens": 766,
"total_tokens": 21884
}
] |
[
"Q381845",
"P39",
"Q62070236"
] | [
"Q16196017",
"P39",
"Q62070236"
] | [
"Q16196017",
"P69",
"Q1126189"
] | [
"Lee Jong-wook",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"educated at",
"London School of Hygiene & Tropical Medicine"
] | Q62070236__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 Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine? | Lee Jong-wook | London School of Hygiene & Tropical Medicine | educated at | 22 | Query: What are different ways of connecting Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual trip... | [
"<answer>{\n\"1\": [[\"Lee Jong-wook\", \"held position\", \"Director-General of the World Health Organization\"], [\"Director-General of the World Health Organization\", \"held by\", \"Tedros Adhanom Ghebreyesus\"], [\"Tedros Adhanom Ghebreyesus\", \"educated at\", \"London School of Hygiene & Tropical Medicine\"]... | [
"Query: What are different ways of connecting Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factu... | [
15244
] | [
15232
] | [
{
"completion_tokens": 19053,
"prompt_tokens": 787,
"total_tokens": 19840
}
] |
[
"Q17035754",
"P54",
"Q219602"
] | [
"Q3128846",
"P54",
"Q219602"
] | [
"Q3128846",
"P69",
"Q613736"
] | [
"Trey Gilleo",
"member of sports team",
"New York Jets"
] | [
"Hayden Smith",
"member of sports team",
"New York Jets"
] | [
"Hayden Smith",
"educated at",
"Metropolitan State University of Denver"
] | Q219602__P54 | 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 Trey Gilleo and someone who was educated at Metropolitan State University of Denver? | Trey Gilleo | Metropolitan State University of Denver | educated at | 24 | Query: What are different ways of connecting Trey Gilleo and someone who was educated at Metropolitan State University of Denver?
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 continuo... | [
"<answer>{\n \"1\": [[\"Trey Gilleo\", \"educated at\", \"Metropolitan State University of Denver\"]],\n \"2\": [[\"Trey Gilleo\", \"works at\", \"City and County of Denver\"], [\"City and County of Denver\", \"has mayor\", \"Michael Hancock (politician)\"], [\"Michael Hancock (politician)\", \"educated at\", \"M... | [
"Query: What are different ways of connecting Trey Gilleo and someone who was educated at Metropolitan State University of Denver?\n\nTask: 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... | [
1228
] | [
1216
] | [
{
"completion_tokens": 17674,
"prompt_tokens": 777,
"total_tokens": 18451
}
] |
[
"Q101005247",
"P162",
"Q82090205"
] | [
"Q101005247",
"P162",
"Q87141"
] | [
"Q87141",
"P3373",
"Q28064800"
] | [
"Fox in a Hole",
"producer",
"Karin C. Berger"
] | [
"Fox in a Hole",
"producer",
"Arash T. Riahi"
] | [
"Arash T. Riahi",
"sibling",
"Arman T. Riahi"
] | Q101005247__P162 | 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 Karin C. Berger and someone who is the sibling of Arash T. Riahi? | Karin C. Berger | Arman T. Riahi | sibling | 28 | Query: What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi?
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 begin... | [
"<answer>{\n\"1\": [\n [\"Karin C. Berger\", \"worked with\", \"Arash T. Riahi\"],\n [\"Arash T. Riahi\", \"sibling\", \"Arman T. Riahi\"]\n],\n\"2\": [\n [\"Karin C. Berger\", \"worked at\", \"United Nations\"],\n [\"United Nations\", \"employs\", \"Arash T. Riahi\"],\n [\"Arash T. Riahi\", \"sibling\", \"Arm... | [
"Query: What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi?\n\nTask: 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 tha... | [
1676
] | [
1664
] | [
{
"completion_tokens": 17153,
"prompt_tokens": 781,
"total_tokens": 17934
}
] |
[
"Q101094804",
"P58",
"Q2542089"
] | [
"Q101094804",
"P58",
"Q616756"
] | [
"Q616756",
"P106",
"Q3282637"
] | [
"Vain neljä kertaa",
"screenwriter",
"Walentin Chorell"
] | [
"Vain neljä kertaa",
"screenwriter",
"Aito Mäkinen"
] | [
"Aito Mäkinen",
"occupation",
"film producer"
] | Q101094804__P58 | 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 Walentin Chorell, a notable figure in literature, and someone who works as a film producer? | Walentin Chorell | film producer | occupation | 34 | Query: What are different ways of connecting Walentin Chorell, a notable figure in literature, and someone who works as a film producer?
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... | [
"<answer>{\n\"1\": [[\"Walentin Chorell\", \"occupation\", \"film producer\"]],\n\"2\": [[\"Walentin Chorell\", \"translated\", \"Harry Potter and the Philosopher's Stone (novel)\"], [\"Harry Potter and the Philosopher's Stone (novel)\", \"adapted into\", \"Harry Potter and the Philosopher's Stone (film)\"], [\"Har... | [
"Query: What are different ways of connecting Walentin Chorell, a notable figure in literature, and someone who works as a film producer?\n\nTask: 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) form... | [
1612
] | [
1600
] | [
{
"completion_tokens": 28974,
"prompt_tokens": 777,
"total_tokens": 29751
}
] |
[
"Q189267",
"P161",
"Q240436"
] | [
"Q189267",
"P161",
"Q122020"
] | [
"Q122020",
"P264",
"Q387539"
] | [
"Two and a Half Men",
"cast member",
"Krista Allen"
] | [
"Two and a Half Men",
"cast member",
"Hilary Duff"
] | [
"Hilary Duff",
"record label",
"Hollywood Records"
] | Q189267__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 Krista Allen, the actress, and someone who is associated with Hollywood Records, a well-known record label? | Krista Allen | Hollywood Records | record label | 38 | Query: What are different ways of connecting Krista Allen, the actress, and someone who is associated with Hollywood Records, a well-known record label?
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, t... | [
"<answer>{\n\"1\": [[\"Krista Allen\", \"featured in\", \"People (magazine)\"], [\"People (magazine)\", \"covered\", \"Demi Lovato\"], [\"Demi Lovato\", \"record label\", \"Hollywood Records\"]],\n\"2\": [[\"Krista Allen\", \"attended\", \"Teen Choice Awards (event)\"], [\"Teen Choice Awards (event)\", \"featured\"... | [
"Query: What are different ways of connecting Krista Allen, the actress, and someone who is associated with Hollywood Records, a well-known record label?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relation... | [
10124
] | [
10112
] | [
{
"completion_tokens": 20892,
"prompt_tokens": 775,
"total_tokens": 21667
}
] |
[
"Q96581197",
"P57",
"Q100719246"
] | [
"Q96581188",
"P57",
"Q100719246"
] | [
"Q100719246",
"P1327",
"Q96581197"
] | [
"Jerémy Trouilh",
"director",
"Gagarine"
] | [
"Fanny Liatard",
"director",
"Gagarine"
] | [
"Gagarine",
"partner in business or sport",
"Jerémy Trouilh"
] | Q100719246__P57 | 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 Jerémy Trouilh, a notable figure, and someone who has been a partner in business or sport with him? | Jerémy Trouilh | Jerémy Trouilh | partner in business or sport | 70 | Query: What are different ways of connecting Jerémy Trouilh, a notable figure, and someone who has been a partner in business or sport with him?
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) for... | [
"<answer>{\n\"1\": [\n [\"Jerémy Trouilh\", \"co-founded with\", \"Xavier Niel\"],\n [\"Xavier Niel\", \"partner in business or sport\", \"Jerémy Trouilh\"]\n],\n\"2\": [\n [\"Jerémy Trouilh\", \"co-founded with\", \"Marc Simoncini\"],\n [\"Marc Simoncini\", \"partner in business or sport\", \"Jerémy Trouilh\"]... | [
"Query: What are different ways of connecting Jerémy Trouilh, a notable figure, and someone who has been a partner in business or sport with him?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, ta... | [
1676
] | [
1664
] | [
{
"completion_tokens": 15037,
"prompt_tokens": 783,
"total_tokens": 15820
}
] |
End of preview. Expand in Data Studio
Dataset: connections-dev/connection_queries_jan12_natural_original_1_high_0.7_1024_gpt-5-mini-2025-08-07
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gpt-5-mini-2025-08-07 - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
700 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
1024 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
high
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
True - No Curator:
False - Index Filter:
None (all samples) - Start Index:
None - End Index:
None
Data Information
- Input File:
connections-dev/connection_queries_jan12_natural_original_1_high_0.7_1024_gpt-5-mini-2025-08-07 - Number of Samples:
216 - Output Filename:
connection_queries_jan12_natural_original_1_high_0__natural__original__1__reasoning__high__0.7__1024__gpt-5-mini-2025-08-07.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("connections-dev/connection_queries_jan12_natural_original_1_high_0.7_1024_gpt-5-mini-2025-08-07_v2")
Generation Details
This dataset was generated on 2026-01-26 00:23:25 using the inference pipeline with the above configuration.
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