Triple

T22056546
Position Surface form Disambiguated ID Type / Status
Subject Hookers Bend, Tennessee E545029 entity
Predicate hasCounty P285 FINISHED
Object Hardin 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: Hardin County | Statement: [Hookers Bend, Tennessee, hasCounty, Hardin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardin County
Context triple: [Hookers Bend, Tennessee, hasCounty, Hardin County]
  • A. Hardin County
    Hardin County is a county in central Kentucky known for its mix of rural communities, small cities like Elizabethtown, and its role as a regional economic and transportation hub.
  • B. Hardin County chosen
    Hardin County is a rural county in southwestern Tennessee known for its location along the Tennessee River and its county seat, Savannah.
  • C. Shelby County
    Shelby County is a county in central Indiana that forms part of the Indianapolis metropolitan area.
  • D. Shelby County
    Shelby County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • E. Loudon County
    Loudon County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region, known for its mix of suburban communities, rural landscapes, and access to the Tennessee River.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128588e0081909056ac8251afe935 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.