Triple

T14929469
Position Surface form Disambiguated ID Type / Status
Subject Jefferson County, Ohio E372219 entity
Predicate containsSettlement P847 FINISHED
Object Salineville, Ohio E525383 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: Salineville, Ohio | Statement: [Jefferson County, Ohio, containsSettlement, Salineville, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salineville, Ohio
Context triple: [Jefferson County, Ohio, containsSettlement, Salineville, Ohio]
  • A. Salineville, Ohio chosen
    Salineville, Ohio is a small rural village in Columbiana County known historically for its coal mining heritage and role in the Civil War.
  • B. Washingtonville, Ohio
    Washingtonville, Ohio is a small village located in Columbiana County in the eastern part of the state.
  • C. Springdale, Ohio
    Springdale, Ohio is a suburban city in southwestern Ohio that forms part of the Cincinnati metropolitan area.
  • D. Waterville, Ohio
    Waterville, Ohio is a small city in northwest Ohio situated along the Maumee River, known for its historic downtown and proximity to the Toledo metropolitan area.
  • E. Lowellville, Ohio
    Lowellville, Ohio is a small village in northeastern Ohio that lies within the Youngstown metropolitan area and has historically been tied to the region’s steel and manufacturing industries.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded634e67881909daec9eaef188d09 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c728948190a1cfc62f4038b6ec completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:36 a.m.