Triple

T9840477
Position Surface form Disambiguated ID Type / Status
Subject Asbury University E239210 entity
Predicate locatedIn P40 FINISHED
Object Wilmore, Kentucky E248757 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: Wilmore, Kentucky | Statement: [Asbury University, locatedIn, Wilmore, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmore, Kentucky
Context triple: [Asbury University, locatedIn, Wilmore, Kentucky]
  • A. Wilmore, Kentucky chosen
    Wilmore, Kentucky is a small central Kentucky city known for its religious and educational institutions, including Asbury University and Asbury Theological Seminary.
  • B. Riverwood, Kentucky
    Riverwood, Kentucky is a small, affluent residential city in Jefferson County that forms part of the suburban Louisville area.
  • C. Shively, Kentucky
    Shively, Kentucky is a home rule-class city in Jefferson County that functions as a residential suburb of Louisville.
  • D. Kevil, Kentucky
    Kevil, Kentucky is a small rural city in western Kentucky known for its proximity to the Paducah Gaseous Diffusion Plant and its agricultural surroundings.
  • E. Murray, Kentucky
    Murray, Kentucky is a small city in southwestern Kentucky best known as the home of Murray State University and for its strong college-town atmosphere.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34b045481908f89abd576aab497 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d5484c8190a78ccd0e9816ba51 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:33 p.m.