Triple

T10699986
Position Surface form Disambiguated ID Type / Status
Subject Western Ohio E252247 entity
Predicate containsCity P294 FINISHED
Object Huber Heights, Ohio E201786 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: Huber Heights, Ohio | Statement: [Western Ohio, containsCity, Huber Heights, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huber Heights, Ohio
Context triple: [Western Ohio, containsCity, Huber Heights, Ohio]
  • A. Huber Heights, Ohio chosen
    Huber Heights, Ohio is a suburban city in the Dayton metropolitan area known for its residential communities and location within the Miami Valley region.
  • B. Sagamore Hills, Ohio
    Sagamore Hills, Ohio is a suburban community in northeastern Ohio known for its proximity to outdoor recreation areas, including nearby ski and nature destinations.
  • C. Westerville, Ohio
    Westerville, Ohio is a suburban city northeast of Columbus known for its historic Uptown district, strong public schools, and status as home to Otterbein University.
  • D. Hillsboro, Ohio
    Hillsboro, Ohio is a small city in Highland County known as a regional hub for the surrounding rural communities of southwestern Ohio.
  • E. Blue Ash, Ohio
    Blue Ash, Ohio is a suburban city in the Cincinnati metropolitan area known for its corporate offices, parks, and regional airport.
  • 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_69deb08d63d481908ab1d5038424dab6 completed April 14, 2026, 9:24 p.m.
Created at: April 8, 2026, 9:12 p.m.