Triple

T10849262
Position Surface form Disambiguated ID Type / Status
Subject Lewis Center, Ohio E256095 entity
Predicate near P350 FINISHED
Object Westerville, Ohio E286531 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: Westerville, Ohio | Statement: [Lewis Center, Ohio, near, Westerville, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerville, Ohio
Context triple: [Lewis Center, Ohio, near, Westerville, Ohio]
  • A. Westerville, Ohio chosen
    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.
  • B. Huber Heights, Ohio
    Huber Heights, Ohio is a suburban city in the Dayton metropolitan area known for its residential communities and location within the Miami Valley region.
  • C. Blue Ash, Ohio
    Blue Ash, Ohio is a suburban city in the Cincinnati metropolitan area known for its corporate offices, parks, and regional airport.
  • D. Westlake, Ohio
    Westlake, Ohio is a suburban city located west of Cleveland known for its residential neighborhoods, retail centers, and proximity to Lake Erie.
  • E. Upper Arlington, Ohio
    Upper Arlington, Ohio is a suburban city northwest of downtown Columbus known for its affluent residential neighborhoods, strong public schools, and well-developed parks and community amenities.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75115e4a88190b77be46b63db0c84 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6849dbff08190a352eaaea8606bdb completed April 20, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:20 p.m.