Triple

T5225182
Position Surface form Disambiguated ID Type / Status
Subject Greater Cleveland E117966 entity
Predicate hasCity P316 FINISHED
Object Avon, Ohio E421205 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: Avon, Ohio | Statement: [Greater Cleveland, hasCity, Avon, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avon, Ohio
Context triple: [Greater Cleveland, hasCity, Avon, Ohio]
  • A. Avon, Ohio chosen
    Avon, Ohio is a suburban city in northeastern Ohio known for its residential communities, retail development, and location within the Greater Cleveland metropolitan area.
  • B. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • C. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • D. Norwood, Ohio
    Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
  • E. Wapakoneta, Ohio
    Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adb034c819086bf8a85fbf158f4 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfdb12f33c819084d9268bd31b1f6c completed March 22, 2026, 12:05 p.m.
Created at: March 20, 2026, 1:48 p.m.