Triple

T19677784
Position Surface form Disambiguated ID Type / Status
Subject Appalachian region of North Carolina E472500 entity
Predicate contains P35 FINISHED
Object Watauga County 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: Watauga County | Statement: [Appalachian region of North Carolina, contains, Watauga County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watauga County
Context triple: [Appalachian region of North Carolina, contains, Watauga County]
  • A. Watauga County chosen
    Watauga County is a mountainous county in northwestern North Carolina known for its outdoor recreation, Appalachian culture, and the college town of Boone.
  • B. Williamsburg County
    Williamsburg County is a rural county in eastern South Carolina known for its agricultural landscape, small towns, and historical ties to the Lowcountry region.
  • C. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • D. Woodford County
    Woodford County is a county in central Kentucky known for its horse farms, bourbon distilleries, and historic small towns.
  • E. Maury County
    Maury County is a county in Middle Tennessee known for its rich Civil War history, agricultural heritage, and its county seat, Columbia.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bceef881909c5b655af709c8c6 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.