Triple

T15805078
Position Surface form Disambiguated ID Type / Status
Subject Monroe County, West Virginia E383194 entity
Predicate locatedIn P40 FINISHED
Object West Virginia E24143 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: West Virginia | Statement: [Monroe County, West Virginia, locatedIn, West Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Virginia
Context triple: [Monroe County, West Virginia, locatedIn, West Virginia]
  • A. West Virginia chosen
    West Virginia is a landlocked, mountainous U.S. state in the Appalachian region, known for its coal mining history, outdoor recreation, and distinct cultural heritage.
  • B. W.D. Va.
    W.D. Va. is the standard legal abbreviation for the United States District Court for the Western District of Virginia, a federal trial court within the Fourth Circuit.
  • C. La Virginia
    La Virginia is a municipality in western Colombia known for its location along the Cauca River and its role as a commercial and transport hub in the Risaralda Department.
  • D. WV
    WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in England.
  • E. Virginia
    Virginia is a coastal township in Montserrado County, Liberia, known for its beaches and proximity to the capital, Monrovia.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b525b1c08190acffab06d89dbdbe completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998d17648190b9f020632461965f completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.