Triple

T11791622
Position Surface form Disambiguated ID Type / Status
Subject Hartford, Tennessee E280400 entity
Predicate county P75 FINISHED
Object Cocke County E824175 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: Cocke County | Statement: [Hartford, Tennessee, county, Cocke County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cocke County
Context triple: [Hartford, Tennessee, county, Cocke County]
  • A. Cocke County chosen
    Cocke County is a rural county in eastern Tennessee, known for its location in the Appalachian region near the Great Smoky Mountains.
  • B. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • C. Tucker County
    Tucker County is a rural county in northeastern West Virginia known for its rugged Appalachian landscapes, state parks, and outdoor recreation opportunities.
  • D. Nicholas County
    Nicholas County is a largely rural county in central West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • E. Woodford County
    Woodford County is a county in central Kentucky known for its horse farms, bourbon distilleries, and historic small towns.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280fe1b2881908c32b920cdaf04df completed April 29, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:42 p.m.