Triple

T371729
Position Surface form Disambiguated ID Type / Status
Subject Hardin County, Kentucky E8283 entity
Predicate hasRiver P165 FINISHED
Object Rolling Fork
Rolling Fork is a river in central Kentucky that flows through several counties and serves as a tributary of the Salt River.
E47576 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rolling Fork | Statement: [Hardin County, Kentucky, hasRiver, Rolling Fork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolling Fork
Context triple: [Hardin County, Kentucky, hasRiver, Rolling Fork]
  • A. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • B. Shattuck, Oklahoma
    Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
  • C. Missoula
    Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
  • D. Livingston
    Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
  • E. Holly Springs
    Holly Springs is a suburban town in North Carolina known for its rapid growth, family-friendly communities, and proximity to the Research Triangle’s technology and research hubs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rolling Fork
Triple: [Hardin County, Kentucky, hasRiver, Rolling Fork]
Generated description
Rolling Fork is a river in central Kentucky that flows through several counties and serves as a tributary of the Salt River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rolling Fork
Target entity description: Rolling Fork is a river in central Kentucky that flows through several counties and serves as a tributary of the Salt River.
  • A. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • B. Shattuck, Oklahoma
    Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
  • C. Missoula
    Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
  • D. Livingston
    Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
  • E. Holly Springs
    Holly Springs is a suburban town in North Carolina known for its rapid growth, family-friendly communities, and proximity to the Research Triangle’s technology and research hubs.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec00785481908551fc3571fcca47 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f4da5b2881909f71546e714c7883 completed March 1, 2026, 8:12 a.m.
NEDg Description generation batch_69a3f544f4d48190ae1adb4b0f1fd438 completed March 1, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_69a3f5932d888190bb1444d6372b1294 completed March 1, 2026, 8:15 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.