Triple

T7510113
Position Surface form Disambiguated ID Type / Status
Subject Boone County, Kentucky E177496 entity
Predicate hasMunicipality P847 FINISHED
Object Union, Kentucky E352285 NE FINISHED

How this triple was built (2 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: Union, Kentucky | Statement: [Boone County, Kentucky, hasMunicipality, Union, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union, Kentucky
Context triple: [Boone County, Kentucky, hasMunicipality, Union, Kentucky]
  • A. Hardin, Kentucky
    Hardin, Kentucky is a small rural city located in Marshall County in western Kentucky.
  • B. Union, Kentucky, United States chosen
    Union, Kentucky, United States is a small suburban city in Boone County that forms part of the greater Cincinnati metropolitan area.
  • C. Lebanon, Kentucky
    Lebanon, Kentucky is a small city in central Kentucky that serves as the county seat of Marion County and is known for its historic downtown and bourbon-related attractions.
  • D. Cerulean, Kentucky
    Cerulean, Kentucky is a small unincorporated community and historic resort area in western Kentucky known for its rural setting and mineral springs.
  • E. Fulton, Kentucky
    Fulton, Kentucky is a small city in southwestern Kentucky historically known as a railroad hub and for its role in the banana distribution industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461035b48190ba08c0f759cafe4a completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.