Triple

T21284960
Position Surface form Disambiguated ID Type / Status
Subject Marion County, West Virginia E524630 entity
Predicate hasPostalAbbreviation P43 FINISHED
Object WV 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: WV | Statement: [Marion County, West Virginia, hasPostalAbbreviation, WV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WV
Context triple: [Marion County, West Virginia, hasPostalAbbreviation, WV]
  • A. WV
    WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in England.
  • 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. 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.
  • D. WVDOH
    WVDOH is the state agency responsible for planning, building, and maintaining the public road and highway system in West Virginia.
  • E. WI
    WI is the vehicle registration code used on license plates for the German city of Wiesbaden.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d4e7f881909c2cc7936a66b79d completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.