Triple

T5370322
Position Surface form Disambiguated ID Type / Status
Subject Green County, Kentucky E108831 entity
Predicate hasCountySeat P383 FINISHED
Object Greensburg, Kentucky E252471 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: Greensburg, Kentucky | Statement: [Green County, Kentucky, hasCountySeat, Greensburg, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greensburg, Kentucky
Context triple: [Green County, Kentucky, hasCountySeat, Greensburg, Kentucky]
  • A. Greensburg, Kentucky chosen
    Greensburg, Kentucky is a small historic city in central Kentucky that serves as the county seat of Green County.
  • B. Brownsville, Kentucky
    Brownsville, Kentucky is a small city that serves as the county seat of Edmonson County and a gateway to nearby Mammoth Cave National Park.
  • C. Guston, Kentucky
    Guston, Kentucky is an unincorporated rural community located in Meade County in the north-central part of the state.
  • D. Burgin, Kentucky
    Burgin, Kentucky is a small home rule-class city located in Mercer County in the central part of the state.
  • E. Mitchellsburg, Kentucky
    Mitchellsburg, Kentucky is a small unincorporated community located in Boyle County in central Kentucky.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd8688b7488190a57baedd52a11b1a completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334ac2548190ad672943ac138373 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:02 p.m.