Triple

T10536469
Position Surface form Disambiguated ID Type / Status
Subject Davis College of Agriculture, Natural Resources and Design E248575 entity
Predicate regionServed P82 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: [Davis College of Agriculture, Natural Resources and Design, regionServed, West Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Virginia
Context triple: [Davis College of Agriculture, Natural Resources and Design, regionServed, 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. 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.
  • C. WV
    WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in England.
  • D. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a554fb4819081e9618bab051dc6 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933fffc4c81908798094f72a06d18 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:31 p.m.