Triple

T19725411
Position Surface form Disambiguated ID Type / Status
Subject Dam Neck Annex E473713 entity
Predicate near P350 FINISHED
Object Pungo, Virginia 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: Pungo, Virginia | Statement: [Dam Neck Annex, near, Pungo, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pungo, Virginia
Context triple: [Dam Neck Annex, near, Pungo, Virginia]
  • A. Pungo, Virginia chosen
    Pungo, Virginia is a rural community in the southern part of Virginia Beach known for its farmland, strawberry festival, and small-town character.
  • B. Pound, Virginia
    Pound, Virginia is a small Appalachian town in southwestern Virginia known for its coal-mining heritage and location near the Kentucky border.
  • C. Volney, Virginia
    Volney, Virginia is a small unincorporated community in Grayson County in southwestern Virginia.
  • D. Courtland, Virginia
    Courtland, Virginia is a small historic town in southeastern Virginia that serves as the administrative and commercial center of Southampton County.
  • E. Watauga, Virginia
    Watauga, Virginia is an unincorporated community located in Washington County in the southwestern region of the state.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f7bedc81908f784832c0fc10a1 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.