query stringclasses 10
values | metadata dict | prompting_information dict | path_prediction listlengths 0 9 | reasoning_summary stringclasses 10
values | cost_usd float64 0.02 0.07 |
|---|---|---|---|---|---|
What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? | {
"triple1": [
"Q1352656",
"P166",
"Q935843"
],
"triple1_labels": [
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
],
"triple2": [
"Q356715",
"P166",
"Q935843"
],
"triple2_labels": [
"Benny Carter",
"award received",
"Grammy Lifetime A... | {
"entity_a": "Morton Gould",
"entity_b": "Benny Carter discography",
"rel_b": "discography"
} | [
"[[\"Morton Gould\", \"profession includes\", \"arranger\"], [\"Benny Carter\", \"profession includes\", \"arranger\"], [\"Benny Carter\", \"discography\", \"Benny Carter discography\"]]",
"[[\"Morton Gould\", \"served as president of\", \"ASCAP\"], [\"Benny Carter\", \"member of\", \"ASCAP\"], [\"Benny Carter\",... | I'll systematically find multi-hop paths connecting Morton Gould to Benny Carter discography.
**Thinking through the connections:**
**Morton Gould's unique properties:**
- American composer, conductor, arranger, pianist
- Won Grammy Award (including Grammy Lifetime Achievement Award in 1994)
- Pulitzer Prize for Musi... | 0.031164 |
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? | {
"triple1": [
"Q57067",
"P166",
"Q38104"
],
"triple1_labels": [
"Max von Laue",
"award received",
"Nobel Prize in Physics"
],
"triple2": [
"Q131729",
"P166",
"Q38104"
],
"triple2_labels": [
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics... | {
"entity_a": "Max von Laue",
"entity_b": "chemist",
"rel_b": "occupation"
} | [
"[[\"Max von Laue\", \"worked at\", \"Kaiser Wilhelm Institute\"], [\"Fritz Haber\", \"director of\", \"Kaiser Wilhelm Institute for Physical Chemistry\"], [\"Fritz Haber\", \"occupation\", \"chemist\"]]",
"[[\"Max von Laue\", \"colleague of\", \"Walther Nernst\"], [\"Walther Nernst\", \"occupation\", \"chemist\"... | I'll systematically find multi-hop paths connecting Max von Laue to someone with occupation "chemist".
**Thinking through unique properties of Max von Laue:**
- Nobel Prize in Physics 1914
- Discovered X-ray diffraction by crystals
- German physicist, worked at Kaiser Wilhelm Institute
- Mentored by Max Planck
- Colle... | 0.031713 |
What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach? | {
"triple1": [
"Q2085",
"P161",
"Q164328"
],
"triple1_labels": [
"Twin Peaks",
"cast member",
"David Koechner"
],
"triple2": [
"Q2085",
"P161",
"Q174263"
],
"triple2_labels": [
"Twin Peaks",
"cast member",
"Rodney Rowland"
],
"triple3": [
"Q174263",
... | {
"entity_a": "David Koechner",
"entity_b": "Newport Beach",
"rel_b": "place of birth"
} | [] | 0.066039 | |
What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation? | {
"triple1": [
"Q18037479",
"P2293",
"Q11081"
],
"triple1_labels": [
"CD2AP",
"genetic association",
"Alzheimer's disease"
],
"triple2": [
"Q18053558",
"P2293",
"Q11081"
],
"triple2_labels": [
"ATXN7L1",
"genetic association",
"Alzheimer's disease"
],
"t... | {
"entity_a": "CD2AP",
"entity_b": "reverse strand",
"rel_b": "strand orientation"
} | [
"[[\"CD2AP\", \"associated with\", \"Alzheimer's disease risk\"], [\"Alzheimer's disease\", \"studied via\", \"GWAS loci\"], [\"GWAS loci\", \"include genes on\", \"reverse strand\"], [\"reverse strand\", \"strand orientation\", \"reverse strand\"]]",
"[[\"CD2AP\", \"interacts with\", \"nephrin\"], [\"nephrin\", ... | I'll analyze the connections between CD2AP and "reverse strand" through multiple reasoning paths.
**Key facts:**
- CD2AP (CD2-associated protein) is encoded by the CD2AP gene in humans
- The CD2AP gene is located on chromosome 6 (6p12.3)
- CD2AP is involved in kidney function, actin cytoskeleton organization, and is l... | 0.027038 |
What are different ways of connecting Kun Nong and someone who was born in Des Moines? | {
"triple1": [
"Q283572",
"P463",
"Q254138"
],
"triple1_labels": [
"Kun Nong",
"member of",
"Slipknot"
],
"triple2": [
"Q316136",
"P463",
"Q254138"
],
"triple2_labels": [
"Chris Fehn",
"member of",
"Slipknot"
],
"triple3": [
"Q316136",
"P19",
... | {
"entity_a": "Kun Nong",
"entity_b": "Des Moines",
"rel_b": "place of birth"
} | [
"[[\"Kun Nong\", \"district in\", \"Kalasin Province\"], [\"Kalasin Province\", \"part of\", \"Thailand\"], [\"Thailand\", \"Olympic team\", \"Thailand at the Olympics\"], [\"Shawn Johnson\", \"Olympic gold medalist\", \"2008 Beijing Olympics\"], [\"Shawn Johnson\", \"place of birth\", \"Des Moines\"]]",
"[[\"Kun... | I'll analyze this carefully. "Kun Nong" appears to refer to a Thai person or place. Let me think about what "Kun Nong" specifically refers to - it could be a Thai name or nickname. Given the context mentions "Nong Kung Si" district in Kalasin province, Thailand, "Kun Nong" might be a Thai individual.
Let me think abou... | 0.028246 |
What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine? | {
"triple1": [
"Q423327",
"P2175",
"Q12199"
],
"triple1_labels": [
"enfuvirtide",
"medical condition treated",
"HIV/AIDS"
],
"triple2": [
"Q422654",
"P2175",
"Q12199"
],
"triple2_labels": [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
],
"triple... | {
"entity_a": "enfuvirtide",
"entity_b": "venlafaxine",
"rel_b": "significant drug interaction"
} | [
"[[\"enfuvirtide\", \"used in combination therapy with\", \"ritonavir\"], [\"ritonavir\", \"significant drug interaction\", \"venlafaxine\"]]",
"[[\"enfuvirtide\", \"contraindicated with herbal supplement\", \"St. John's Wort\"], [\"St. John's Wort\", \"significant drug interaction\", \"venlafaxine\"]]",
"[[\"e... | I'll systematically work through this, finding multi-hop paths from enfuvirtide to venlafaxine via "significant drug interaction."
**Key facts about enfuvirtide:**
- HIV fusion inhibitor / antiretroviral drug
- Used in combination therapy for HIV/AIDS
- Brand name: Fuzeon
- Mechanism: blocks HIV entry by inhibiting gp... | 0.042539 |
What are different ways of connecting Bela B, the German musician, and someone who is the unmarried partner of Hagen Liebing? | {
"triple1": [
"Q77462",
"P463",
"Q32645"
],
"triple1_labels": [
"Bela B",
"member of",
"Die Ärzte"
],
"triple2": [
"Q95556",
"P463",
"Q32645"
],
"triple2_labels": [
"Hagen Liebing",
"member of",
"Die Ärzte"
],
"triple3": [
"Q95556",
"P451",
... | {
"entity_a": "Bela B",
"entity_b": "Anja Caspary",
"rel_b": "unmarried partner"
} | [
"[[\"Bela B\", \"collaborated on tour with\", \"Hagen Liebing\"], [\"Hagen Liebing\", \"partner of\", \"Anja Caspary\"], [\"Hagen Liebing\", \"unmarried partner\", \"Anja Caspary\"]]"
] | I need to find paths connecting Bela B to Anja Caspary, where Anja Caspary is the unmarried partner of Hagen Liebing.
Let me think about what I know:
**Anja Caspary** is a German TV presenter/journalist (known from ZDF), and she is the unmarried partner of **Hagen Liebing**, who is the bassist of Die Ärzte.
**Bela B... | 0.027407 |
What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski? | {
"triple1": [
"Q651253",
"P40",
"Q1268"
],
"triple1_labels": [
"Nicolas Chopin",
"child",
"Frédéric Chopin"
],
"triple2": [
"Q9356382",
"P40",
"Q1268"
],
"triple2_labels": [
"Tekla Justyna Chopin",
"child",
"Frédéric Chopin"
],
"triple3": [
"Q935638... | {
"entity_a": "Nicolas Chopin",
"entity_b": "Jakub Krzyżanowski",
"rel_b": "father"
} | [] | I need to find paths connecting Nicolas Chopin to someone who is the father of Jakub Krzyżanowski.
Let me think about what I know:
**Nicolas Chopin's unique properties:**
- Father of Frédéric Chopin (the famous composer)
- French language teacher in Partitioned Poland
- Born in France, lived in Poland
- Connected to ... | 0.021298 |
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? | {
"triple1": [
"Q23505",
"P40",
"Q207"
],
"triple1_labels": [
"George H. W. Bush",
"child",
"George W. Bush"
],
"triple2": [
"Q190628",
"P40",
"Q207"
],
"triple2_labels": [
"Barbara Bush",
"child",
"George W. Bush"
],
"triple3": [
"Q190628",
"P39... | {
"entity_a": "George H. W. Bush",
"entity_b": "First Lady of the United States",
"rel_b": "position held"
} | [
"[[\"George H. W. Bush\", \"married to\", \"Barbara Bush\"], [\"Barbara Bush\", \"position held\", \"First Lady of the United States\"]]",
"[[\"George H. W. Bush\", \"served as vice president under\", \"Ronald Reagan\"], [\"Nancy Reagan\", \"spouse of\", \"Ronald Reagan\"], [\"Nancy Reagan\", \"position held\", \... | I'll systematically find multi-hop paths connecting George H. W. Bush to First Lady of the United States.
**Key entities who held "First Lady of the United States":**
- Barbara Bush (wife of George H. W. Bush)
- Laura Bush (wife of George W. Bush)
- Nancy Reagan (wife of Ronald Reagan)
- Hillary Clinton (wife of Bill ... | 0.030756 |
What are different ways of connecting INTS7, a protein involved in various cellular processes, and a substance that is expressed in the gallbladder? | {
"triple1": [
"Q18037778",
"P2293",
"Q131755"
],
"triple1_labels": [
"INTS7",
"genetic association",
"bipolar disorder"
],
"triple2": [
"Q18046338",
"P2293",
"Q131755"
],
"triple2_labels": [
"MCTP1",
"genetic association",
"bipolar disorder"
],
"triple3... | {
"entity_a": "INTS7",
"entity_b": "gallbladder",
"rel_b": "expressed in"
} | [
"[[\"INTS7\", \"subunit of\", \"Integrator complex\"], [\"Integrator complex\", \"regulates transcription of\", \"NR1H4\"], [\"NR1H4\", \"expressed in\", \"gallbladder\"]]",
"[[\"INTS7\", \"involved in\", \"RNA polymerase II transcription\"], [\"RNA polymerase II transcription\", \"produces\", \"TP53 mRNA\"], [\"... | I'll systematically find multi-hop paths connecting INTS7 to gallbladder via "expressed in" relationships.
Let me think about what's known about INTS7 and what proteins/substances are expressed in the gallbladder.
**INTS7 facts:**
- Part of the Integrator complex (a multi-subunit complex)
- Involved in RNA polymerase... | 0.034558 |
rag-sonnet-10
Run timestamp: 2026-03-17T09:54:14 Benchmark: CREATE — associative reasoning via knowledge-graph path generation
Run Parameters
| Parameter | Value |
|---|---|
| Mode | rag |
| Generator model | claude-sonnet-4-6 |
| Scorer model | gpt-4.1-mini-2025-04-14 |
| Temperature | None |
| Max tokens | 4096 |
| verify_factuality | True |
Run Summary
| Metric | Value |
|---|---|
| Instances processed | 10 |
| Total paths generated | 38 |
| Avg paths / instance | 3.80 |
| Min paths / instance | 0 |
| Max paths / instance | 9 |
| Total cost (USD) | $0.3408 |
Dataset Format
Each row contains:
query— the original CREATE benchmark query stringpath_prediction— list of path strings, each a JSON array of[head, relation, tail]triplescost_usd— LLM API cost for this instance in USD- All original CREATE fields (metadata, prompting_information, etc.)
Prompt Strategy: RAG-Augmented (Mode A)
A single LLM call augmented with Wikipedia retrieval. Pipeline:
Entity grounding — Wikipedia summaries and key facts are retrieved for both
entity_aandentity_b, plus a shared-connections search for pages mentioning both.RAG-augmented generation — the retrieved context is prepended to the prompt. The model is instructed to prioritize paths grounded in retrieved facts, and to note which retrieved fact grounds each path in its thinking.
Factuality pre-filter — a cheap scorer model verifies each triple in each path. Paths with any hallucinated triple are discarded before output.
The same strength-first, diversity-structured, and confidence-floor instructions from the single-model prompt are included.
Generated by create_solver
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