Triple

T2956347
Position Surface form Disambiguated ID Type / Status
Subject Bowling Green metropolitan area E79938 entity
Predicate hasSettlement P1068 FINISHED
Object Morgantown, Kentucky E386888 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: Morgantown, Kentucky | Statement: [Bowling Green metropolitan area, hasSettlement, Morgantown, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgantown, Kentucky
Context triple: [Bowling Green metropolitan area, hasSettlement, Morgantown, Kentucky]
  • A. Morgantown, Kentucky chosen
    Morgantown, Kentucky is a small city that serves as the county seat of Butler County and a local hub for the surrounding rural region.
  • B. Mitchellsburg, Kentucky
    Mitchellsburg, Kentucky is a small unincorporated community located in Boyle County in central Kentucky.
  • C. 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.
  • D. Maysville, West Virginia
    Maysville, West Virginia is a small unincorporated community that serves as the county seat of Grant County in the eastern part of the state.
  • E. Radcliff, Kentucky
    Radcliff, Kentucky is a city in north-central Kentucky closely associated with the nearby Fort Knox military installation and serving as one of the main urban centers in the Elizabethtown–Fort Knox region.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992998f08190ac9428310983172e completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503d3f19c819088061d3c68757957 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 2:57 p.m.