Triple

T10700031
Position Surface form Disambiguated ID Type / Status
Subject Western Ohio E252247 entity
Predicate containsCity P294 FINISHED
Object Cheviot, Ohio E361000 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: Cheviot, Ohio | Statement: [Western Ohio, containsCity, Cheviot, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheviot, Ohio
Context triple: [Western Ohio, containsCity, Cheviot, Ohio]
  • A. Cheviot, Ohio chosen
    Cheviot, Ohio is a small suburban city in southwestern Ohio known for its residential character and proximity to Cincinnati.
  • B. Zanesfield, Ohio
    Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
  • C. Richwood, Ohio
    Richwood, Ohio is a small village in Union County known as the birthplace of pioneering acoustical physicist Wallace Clement Sabine.
  • D. Boughtonville, Ohio
    Boughtonville, Ohio is a small unincorporated community located in Huron County in the north-central region of the state.
  • E. Stoutsville, Ohio
    Stoutsville, Ohio is a small incorporated village located in Fairfield County in the central part of the state.
  • 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_69de554ed3848190bba56ab52c05902c completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:12 p.m.