Triple

T17844506
Position Surface form Disambiguated ID Type / Status
Subject Barnesville, Ohio E445621 entity
Predicate locatedInCounty P40 FINISHED
Object Belmont 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: Belmont County | Statement: [Barnesville, Ohio, locatedInCounty, Belmont County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belmont County
Context triple: [Barnesville, Ohio, locatedInCounty, Belmont County]
  • A. Belmont County chosen
    Belmont County is a county in eastern Ohio, United States, located along the Ohio River and known for its mix of small industrial cities and rural communities.
  • B. Christian County
    Christian County is a county in central Illinois known for its agricultural economy and small rural communities, with Taylorville as its county seat.
  • C. Boyle County
    Boyle County is a county in central Kentucky known as the site of the pivotal Civil War Battle of Perryville.
  • D. Barbour County
    Barbour County is a largely rural county in southeastern Alabama known for its agricultural economy, historic towns like Eufaula, and significant antebellum architecture.
  • E. Fayette County
    Fayette County is a largely rural county in southwestern Pennsylvania known for its Appalachian landscape, historic industrial and coal-mining heritage, and proximity to the Pittsburgh metropolitan area.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.