Triple

T12047771
Position Surface form Disambiguated ID Type / Status
Subject Hurt, Virginia E286828 entity
Predicate hasOfficialName P66 FINISHED
Object Hurt, Virginia E286828 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: Hurt, Virginia | Statement: [Hurt, Virginia, hasOfficialName, Hurt, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurt, Virginia
Context triple: [Hurt, Virginia, hasOfficialName, Hurt, Virginia]
  • A. Hurt, Virginia chosen
    Hurt, Virginia is a small incorporated town located in Pittsylvania County in the south-central region of the state.
  • B. Etlan, Virginia
    Etlan, Virginia is a small unincorporated rural community in Madison County known for its scenic foothills of the Blue Ridge Mountains, farms, and nearby wineries.
  • C. Watauga, Virginia
    Watauga, Virginia is an unincorporated community located in Washington County in the southwestern region of the state.
  • D. Holdcroft, Virginia
    Holdcroft, Virginia is a small unincorporated community located in rural Charles City County in the Commonwealth of Virginia.
  • E. Shipman, Virginia
    Shipman, Virginia is an unincorporated community in Nelson County known for its rural setting in central Virginia.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904211b588190bfc7603e5b33dcb7 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dc459308190bc88cb550e1d5b86 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.