Triple

T21358641
Position Surface form Disambiguated ID Type / Status
Subject Laurel County, Kentucky E526706 entity
Predicate countySeat P383 FINISHED
Object London, Kentucky NE NERFINISHED

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: London, Kentucky | Statement: [Laurel County, Kentucky, countySeat, London, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London, Kentucky
Context triple: [Laurel County, Kentucky, countySeat, London, Kentucky]
  • A. London, Kentucky chosen
    London, Kentucky is a small city in southeastern Kentucky that serves as a regional hub for government, commerce, and transportation.
  • B. Melbourne, Kentucky
    Melbourne, Kentucky is a small city in northern Kentucky situated along the Ohio River within the Cincinnati metropolitan area.
  • C. Lancaster, Kentucky
    Lancaster, Kentucky is a small historic city in central Kentucky that serves as the county seat of Garrard County.
  • D. Kingston, Kentucky
    Kingston, Kentucky is a small unincorporated community in Madison County that lies between Richmond and Berea in central Kentucky.
  • E. Manchester, Kentucky
    Manchester, Kentucky is a small city in Clay County that serves as a regional hub for education, healthcare, and commerce in southeastern Kentucky.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa3924c8190b3decbfda4a2aecf completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.