Triple

T22142775
Position Surface form Disambiguated ID Type / Status
Subject Columbiana, Ohio E547207 entity
Predicate county P75 FINISHED
Object Mahoning 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: Mahoning County | Statement: [Columbiana, Ohio, county, Mahoning County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahoning County
Context triple: [Columbiana, Ohio, county, Mahoning County]
  • A. Mahoning County, Ohio chosen
    Mahoning County, Ohio is a county in northeastern Ohio known for its county seat of Youngstown and its historical role in the American steel industry.
  • B. Allegheny County
    Allegheny County is a populous county in western Pennsylvania that includes the city of Pittsburgh as its seat and economic center.
  • C. Lorain County
    Lorain County is a county in northern Ohio along Lake Erie, known for its mix of industrial cities, suburban communities, and rural areas west of Cleveland.
  • D. Coshocton County
    Coshocton County is a county in east-central Ohio known for its historic canal-era heritage, small-town communities, and largely rural landscape.
  • E. Lackawanna County
    Lackawanna County is a county in northeastern Pennsylvania that includes the city of Scranton as its largest municipality and county seat.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bf78108190b50d937917258693 completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.