Triple

T13942387
Position Surface form Disambiguated ID Type / Status
Subject Mount Hope, West Virginia E335287 entity
Predicate hasStateAbbreviation P2461 FINISHED
Object WV 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: WV | Statement: [Mount Hope, West Virginia, hasStateAbbreviation, WV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WV
Context triple: [Mount Hope, West Virginia, hasStateAbbreviation, WV]
  • A. WV
    WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in England.
  • B. 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.
  • C. WVDOH
    WVDOH is the state agency responsible for planning, building, and maintaining the public road and highway system in West Virginia.
  • D. WI
    WI is the vehicle registration code used on license plates for the German city of Wiesbaden.
  • E. N.D.W. Va.
    N.D.W. Va. is the standard legal abbreviation for the United States District Court for the Northern District of West Virginia, a federal trial court within the U.S. judiciary.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e0f6f3c8190a64058b732b0ac52 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ca49a881909e77b5a2ae13265f completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.