Triple

T10700010
Position Surface form Disambiguated ID Type / Status
Subject Western Ohio E252247 entity
Predicate containsCity P294 FINISHED
Object Coldwater, Ohio E899135 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: Coldwater, Ohio | Statement: [Western Ohio, containsCity, Coldwater, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coldwater, Ohio
Context triple: [Western Ohio, containsCity, Coldwater, Ohio]
  • A. Coldwater, Ohio chosen
    Coldwater, Ohio is a small village in western Ohio known for its close-knit community and location within Mercer County’s agricultural region.
  • B. Huron, Ohio
    Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
  • C. Richfield, Ohio
    Richfield, Ohio is a small village in Summit County known for its suburban-rural character and proximity to the Cuyahoga Valley National Park.
  • D. Riverside, Ohio
    Riverside, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
  • E. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8abd7c81909c274aa1699a3695 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0513f408190b822566b8fc771cd completed May 3, 2026, 8:30 p.m.
Created at: April 8, 2026, 9:12 p.m.