Triple

T17272399
Position Surface form Disambiguated ID Type / Status
Subject Augusta, Kentucky E419295 entity
Predicate county P75 FINISHED
Object Bracken County E812523 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: Bracken County | Statement: [Augusta, Kentucky, county, Bracken County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bracken County
Context triple: [Augusta, Kentucky, county, Bracken County]
  • A. Greenbrier County
    Greenbrier County is a largely rural county in southeastern West Virginia known for its scenic Appalachian landscapes, outdoor recreation, and the historic Greenbrier resort.
  • B. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • C. Nicholas County
    Nicholas County is a largely rural county in central West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • D. Cocke County
    Cocke County is a rural county in eastern Tennessee, known for its location in the Appalachian region near the Great Smoky Mountains.
  • E. Bracken County, Kentucky chosen
    Bracken County, Kentucky is a rural county in the northern part of the state along the Ohio River, known for its agricultural landscape and small historic communities.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4b023c8190b92df4015c14c3a8 completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3e50ac8190bcbe7f2b77bee4b7 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:40 a.m.