Datasets:

connections-dev
/

rebuttal_s10_e20_n_paths_1_reasoning_medium_0.7_16384_gpt-5-2025-08-07_n10

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 10 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 7 values	index int64 10 19	prompt stringclasses 10 values	path_prediction listlengths 1 1	prompt_for_path listlengths 1 1	usage listlengths 1 1
[ "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	10	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 exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continu...	[ "<answer>{\n \"1\": [\n [\"Joe Spinell\", \"cast member\", \"Taxi Driver (1976 film)\"],\n [\"Taxi Driver (1976 film)\", \"cast member\", \"Harvey Keitel\"],\n [\"Harvey Keitel\", \"place of birth\", \"Brooklyn\"]\n ],\n \"2\": [\n [\"Joe Spinell\", \"cast member\", \"Cruising (1980 film)\"],\n [\...	[ "Query: What are different ways of connecting Joe Spinell, the American actor, and someone who was born in Brooklyn?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a ...	[ { "completion_tokens": 17399, "prompt_tokens": 766, "total_tokens": 18165 } ]
[ "Q315199", "P463", "Q254138" ]	[ "Q3116290", "P463", "Q254138" ]	[ "Q3116290", "P106", "Q4351403" ]	[ "Mick Thomson", "member of", "Slipknot" ]	[ "Greg Welts", "member of", "Slipknot" ]	[ "Greg Welts", "occupation", "percussionist" ]	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 Mick Thomson, the guitarist known for his work in heavy metal, and someone who is a percussionist by occupation?	Mick Thomson	percussionist	occupation	11	Query: What are different ways of connecting Mick Thomson, the guitarist known for his work in heavy metal, and someone who is a percussionist by occupation? Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (h...	[ "<answer>{\n \"1\": [\n [\"Mick Thomson\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"has member\", \"Shawn Crahan\"],\n [\"Shawn Crahan\", \"occupation\", \"percussionist\"]\n ],\n \"2\": [\n [\"Mick Thomson\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"has member\", \"Chris Fehn\"]...	[ "Query: What are different ways of connecting Mick Thomson, the guitarist known for his work in heavy metal, and someone who is a percussionist by occupation?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual tri...	[ { "completion_tokens": 7908, "prompt_tokens": 772, "total_tokens": 8680 } ]
[ "Q21207926", "P40", "Q1463" ]	[ "Q2854731", "P40", "Q1463" ]	[ "Q2854731", "P106", "Q40348" ]	[ "Josefa Edralin Marcos", "child", "Ferdinand Marcos" ]	[ "Mariano Marcos", "child", "Ferdinand Marcos" ]	[ "Mariano Marcos", "occupation", "lawyer" ]	Q1463__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 Josefa Edralin Marcos, a notable figure in Philippine history, and someone who is a lawyer?	Josefa Edralin Marcos	lawyer	occupation	12	Query: What are different ways of connecting Josefa Edralin Marcos, a notable figure in Philippine history, and someone who is a lawyer? Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, ta...	[ "<answer>{\n \"1\": [\n [\"Josefa Edralin Marcos\", \"spouse\", \"Mariano Marcos\"],\n [\"Mariano Marcos\", \"occupation\", \"lawyer\"]\n ],\n \"2\": [\n [\"Josefa Edralin Marcos\", \"child\", \"Ferdinand Marcos\"],\n [\"Ferdinand Marcos\", \"occupation\", \"lawyer\"]\n ],\n \"3\": [\n [\"Josefa...	[ "Query: What are different ways of connecting Josefa Edralin Marcos, a notable figure in Philippine history, and someone who is a lawyer?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relations...	[ { "completion_tokens": 8086, "prompt_tokens": 775, "total_tokens": 8861 } ]
[ "Q16727447", "P54", "Q223522" ]	[ "Q5293277", "P54", "Q223522" ]	[ "Q5293277", "P69", "Q235034" ]	[ "Horace Belton", "member of sports team", "Kansas City Chiefs" ]	[ "Don Parrish", "member of sports team", "Kansas City Chiefs" ]	[ "Don Parrish", "educated at", "University of Pittsburgh" ]	Q223522__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 Horace Belton and someone who was educated at the University of Pittsburgh?	Horace Belton	University of Pittsburgh	educated at	13	Query: What are different ways of connecting Horace Belton and someone who was educated at the University of Pittsburgh? Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a co...	[ "<answer>{\n \"1\": [\n [\"Horace Belton\", \"played for\", \"Kansas City Chiefs\"],\n [\"Kansas City Chiefs\", \"had player\", \"LeSean McCoy\"],\n [\"LeSean McCoy\", \"educated at\", \"University of Pittsburgh\"]\n ],\n \"2\": [\n [\"Horace Belton\", \"played for\", \"Kansas City Chiefs\"],\n ...	[ "Query: What are different ways of connecting Horace Belton and someone who was educated at the University of Pittsburgh?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) formi...	[ { "completion_tokens": 15921, "prompt_tokens": 767, "total_tokens": 16688 } ]
[ "Q775231", "P463", "Q146027" ]	[ "Q2756349", "P463", "Q146027" ]	[ "Q2756349", "P27", "Q145" ]	[ "Niall Horan", "member of", "One Direction" ]	[ "Liam Pane", "member of", "One Direction" ]	[ "Liam Pane", "country of citizenship", "United Kingdom" ]	Q146027__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 Niall Horan, the Irish singer, and someone who is a citizen of the United Kingdom?	Niall Horan	United Kingdom	country of citizenship	14	Query: What are different ways of connecting Niall Horan, the Irish singer, and someone who is a citizen of the United Kingdom? Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) formi...	[ "<answer>\n{\n \"1\": [\n [\"Niall Horan\", \"member of\", \"One Direction\"],\n [\"One Direction\", \"has member\", \"Harry Styles\"],\n [\"Harry Styles\", \"country of citizenship\", \"United Kingdom\"]\n ],\n \"2\": [\n [\"Niall Horan\", \"member of\", \"One Direction\"],\n [\"One Direction\", ...	[ "Query: What are different ways of connecting Niall Horan, the Irish singer, and someone who is a citizen of the United Kingdom?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail...	[ { "completion_tokens": 9554, "prompt_tokens": 772, "total_tokens": 10326 } ]
[ "Q319392", "P463", "Q43267" ]	[ "Q2831", "P463", "Q43267" ]	[ "Q2831", "P8693", "Q74073658" ]	[ "Marlon Jackson", "member of", "The Jackson 5" ]	[ "Michael Jackson", "member of", "The Jackson 5" ]	[ "Michael Jackson", "fandom", "Michael Jackson fandom" ]	Q43267__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 Marlon Jackson, a member of the famous Jackson family, and someone who has a dedicated fandom surrounding their work?	Marlon Jackson	Michael Jackson fandom	fandom	15	Query: What are different ways of connecting Marlon Jackson, a member of the famous Jackson family, and someone who has a dedicated fandom surrounding their work? Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual tripl...	[ "<answer>\n{\n \"1\": [\n [\"Marlon Jackson\", \"sibling of\", \"Michael Jackson\"],\n [\"Michael Jackson\", \"fandom\", \"Michael Jackson fandom\"]\n ],\n \"2\": [\n [\"Marlon Jackson\", \"child of\", \"Joe Jackson (manager)\"],\n [\"Joe Jackson (manager)\", \"parent of\", \"Michael Jackson\"],\n ...	[ "Query: What are different ways of connecting Marlon Jackson, a member of the famous Jackson family, and someone who has a dedicated fandom surrounding their work?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factua...	[ { "completion_tokens": 7459, "prompt_tokens": 775, "total_tokens": 8234 } ]
[ "Q1257", "P39", "Q81066" ]	[ "Q1267", "P39", "Q81066" ]	[ "Q1267", "P106", "Q49757" ]	[ "Boutros Boutros-Ghali", "position held", "United Nations Secretary-General" ]	[ "Dag Hammarskjöld", "position held", "United Nations Secretary-General" ]	[ "Dag Hammarskjöld", "occupation", "poet" ]	Q81066__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 Boutros Boutros-Ghali, the former Secretary-General of the United Nations, and someone who is known for their work as a poet?	Boutros Boutros-Ghali	poet	occupation	16	Query: What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of the United Nations, and someone who is known for their work as a poet? Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factu...	[ "<answer>{\"1\": [[\"Boutros Boutros-Ghali\", \"head of\", \"Organisation internationale de la Francophonie\"], [\"Organisation internationale de la Francophonie\", \"founder\", \"Léopold Sédar Senghor\"], [\"Léopold Sédar Senghor\", \"occupation\", \"poet\"]], \"2\": [[\"Boutros Boutros-Ghali\", \"born in\", \"Cai...	[ "Query: What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of the United Nations, and someone who is known for their work as a poet?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence o...	[ { "completion_tokens": 12524, "prompt_tokens": 782, "total_tokens": 13306 } ]
[ "Q109463", "P39", "Q11699" ]	[ "Q10853588", "P39", "Q11699" ]	[ "Q10853588", "P3602", "Q18356713" ]	[ "Richard Mentor Johnson", "position held", "Vice President of the United States" ]	[ "Kamala Harris", "position held", "Vice President of the United States" ]	[ "Kamala Harris", "candidacy in election", "2016 United States Senate election in California" ]	Q11699__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 Richard Mentor Johnson, a notable political figure, and someone who had a candidacy in the 2016 United States Senate election in California?	Richard Mentor Johnson	2016 United States Senate election in California	candidacy in election	17	Query: What are different ways of connecting Richard Mentor Johnson, a notable political figure, and someone who had a candidacy in the 2016 United States Senate election in California? Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a se...	[ "<answer>{\n \"1\": [\n [\"Richard Mentor Johnson\", \"office held\", \"Vice President of the United States\"],\n [\"Vice President of the United States\", \"office held by\", \"Kamala Harris\"],\n [\"Kamala Harris\", \"candidacy in election\", \"2016 United States Senate election in California\"]\n ],\n...	[ "Query: What are different ways of connecting Richard Mentor Johnson, a notable political figure, and someone who had a candidacy in the 2016 United States Senate election in California?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path ...	[ { "completion_tokens": 11918, "prompt_tokens": 786, "total_tokens": 12704 } ]
[ "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 exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain tha...	[ "<answer>{\n \"1\": [\n [\"Job Römer\", \"position held\", \"Prime Minister of the Netherlands Antilles\"],\n [\"Prime Minister of the Netherlands Antilles\", \"jurisdiction\", \"Netherlands Antilles\"],\n [\"Netherlands Antilles\", \"capital\", \"Willemstad\"],\n [\"Willemstad\", \"birthplace of\", \"...	[ "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 exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous ch...	[ { "completion_tokens": 17175, "prompt_tokens": 762, "total_tokens": 17937 } ]
[ "Q407972", "P2175", "Q47790" ]	[ "Q20817012", "P2175", "Q47790" ]	[ "Q20817012", "P129", "Q21111162" ]	[ "chlorpromazine", "medical condition treated", "tetanus" ]	[ "metocurine iodide", "medical condition treated", "tetanus" ]	[ "metocurine iodide", "physically interacts with", "Cholinergic receptor nicotinic alpha 1 subunit" ]	Q47790__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 chlorpromazine, a medication used to treat various mental health conditions, and a substance that physically interacts with the cholinergic receptor nicotinic alpha 1 subunit?	chlorpromazine	Cholinergic receptor nicotinic alpha 1 subunit	physically interacts with	19	Query: What are different ways of connecting chlorpromazine, a medication used to treat various mental health conditions, and a substance that physically interacts with the cholinergic receptor nicotinic alpha 1 subunit? Task: Identify how two real-world entities are connected by producing exactly 10 distinct connecti...	[ "<answer>\n{\n \"1\": [\n [\"chlorpromazine\", \"marketed by\", \"Smith, Kline & French\"],\n [\"Smith, Kline & French\", \"merged into\", \"SmithKline Beecham\"],\n [\"SmithKline Beecham\", \"merged into\", \"GlaxoSmithKline\"],\n [\"GlaxoSmithKline\", \"markets\", \"Succinylcholine\"],\n [\"Succin...	[ "Query: What are different ways of connecting chlorpromazine, a medication used to treat various mental health conditions, and a substance that physically interacts with the cholinergic receptor nicotinic alpha 1 subunit?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct c...	[ { "completion_tokens": 11352, "prompt_tokens": 796, "total_tokens": 12148 } ]

Dataset: connections-dev/connection_queries_jan12

This dataset was generated using the inference script with the following configuration:

Inference Parameters

Model Configuration

Model Name: gpt-5-2025-08-07
Server URL: Not specified
API Key: Not provided
Request Timeout: 600 seconds

Query Configuration

Query Type: natural
Query Column: query
Sampling Type: n_paths

Generation Parameters

Temperature: 0.7
Max Tokens: 16384
Number of Runs: 1
Chunk Size: Entire dataset
Effort Level: medium

Feature Flags

Step by Step Reasoning: False
Reasoning Enabled: True
No Curator: False
Index Filter: None (all samples)
Start Index: 10
End Index: 20

Data Information

Input File: connections-dev/connection_queries_jan12
Number of Samples: 10
Output Filename: connection_queries_jan12__natural__s10__e20__n_paths__1__reasoning__medium__0.7__16384__gpt-5-2025-08-07.jsonl

Dataset Structure

The dataset contains the following key columns:

query: The original query
entity_a: Starting entity
entity_b: Target entity
rel_b: Target relationship
path_prediction: Generated connection paths
prompt_for_path: Prompts used for path generation

Usage

You can load this dataset using:

from datasets import load_dataset

dataset = load_dataset("connections-dev/rebuttal_s10_e20_n_paths_1_reasoning_medium_0.7_16384_gpt-5-2025-08-07_n10")

Generation Details

This dataset was generated on 2026-03-28 17:56:31 using the inference pipeline with the above configuration.

Downloads last month: 29

Number of rows:

Total file size:

91.8 kB