Triple

T20735313
Position Surface form Disambiguated ID Type / Status
Subject Ohio County, Kentucky E509686 entity
Predicate hasSettlement P1068 FINISHED
Object Hartford, 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: Hartford, Kentucky | Statement: [Ohio County, Kentucky, hasSettlement, Hartford, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartford, Kentucky
Context triple: [Ohio County, Kentucky, hasSettlement, Hartford, Kentucky]
  • A. Hartford, Kentucky chosen
    Hartford, Kentucky is a small city in Ohio County known as the birthplace of Old West lawman Virgil Earp.
  • B. Kingston, Kentucky
    Kingston, Kentucky is a small unincorporated community in Madison County that lies between Richmond and Berea in central Kentucky.
  • C. Farmington, Kentucky
    Farmington, Kentucky is a small unincorporated rural community located in Graves County in the western part of the state.
  • D. Boston, Kentucky
    Boston, Kentucky is a small unincorporated rural community located in Nelson County in the central part of the state.
  • E. Canton, Kentucky
    Canton, Kentucky is a small unincorporated community in Trigg County known for its rural setting near Lake Barkley in western 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c209348c819084a2f35f36378680 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:31 p.m.