Triple

T20677220
Position Surface form Disambiguated ID Type / Status
Subject Mount Juliet E508189 entity
Predicate county P75 FINISHED
Object Wilson 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: Wilson County | Statement: [Mount Juliet, county, Wilson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilson County
Context triple: [Mount Juliet, county, Wilson County]
  • A. Wilson County
    Wilson County is a county in eastern North Carolina known for its seat, the city of Wilson, and its role in the region’s agricultural and manufacturing economy.
  • B. Wilson County chosen
    Wilson County is a county in central Tennessee known for its seat in Lebanon and its location just east of the Nashville metropolitan area.
  • C. Wilson County
    Wilson County is a rural county in Texas known for its agricultural heritage, small towns, and location within the San Antonio metropolitan area.
  • D. Mitchell County
    Mitchell County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
  • E. Mitchell County
    Mitchell County is a rural mountain county in western North Carolina known for its scenic Appalachian landscapes, outdoor recreation, and small-town 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea24f288190928f828e5f567257 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:44 a.m.