Triple

T19677804
Position Surface form Disambiguated ID Type / Status
Subject Appalachian region of North Carolina E472500 entity
Predicate contains P35 FINISHED
Object Alleghany 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: Alleghany County | Statement: [Appalachian region of North Carolina, contains, Alleghany County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alleghany County
Context triple: [Appalachian region of North Carolina, contains, Alleghany County]
  • A. Alleghany County chosen
    Alleghany County is a rural county in northwestern North Carolina located in the Blue Ridge Mountains along the Virginia border.
  • B. Carlisle County
    Carlisle County is a rural county in far western Kentucky, United States, known for its agricultural landscape and location within the Jackson Purchase region.
  • C. Pocahontas County
    Pocahontas County is a largely rural, mountainous county in eastern West Virginia known for its outdoor recreation, scenic beauty, and role as the birthplace of several major rivers.
  • D. Page County
    Page County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • E. Nicholas County
    Nicholas County is a largely rural county in central West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • 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.