Triple

T6597346
Position Surface form Disambiguated ID Type / Status
Subject Montgomery County, Ohio E148509 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: [Montgomery County, Ohio, containsCity, Huber Heights, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huber Heights, Ohio
Context triple: [Montgomery County, 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeee738081908913f4f8c6699bd9 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daf7529c8190b70ac11fb4c9ba32 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 1:56 p.m.