Triple

T19367005
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Ohio E484428 entity
Predicate includesCity P3207 FINISHED
Object Findlay, Ohio NE NERFINISHED

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: Findlay, Ohio | Statement: [Northwestern Ohio, includesCity, Findlay, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Findlay, Ohio
Context triple: [Northwestern Ohio, includesCity, Findlay, Ohio]
  • A. Findlay, Ohio chosen
    Findlay, Ohio is a small city in northwestern Ohio known for its historic downtown, manufacturing base, and role as the seat of Hancock County.
  • B. Findlay
    Findlay is a given name and surname of Scottish origin, often considered a variant of the name Finn or Finlay.
  • C. Alexandria, Ohio
    Alexandria, Ohio is a small village in central Ohio known for its rural character and location within Licking County near the Columbus metropolitan area.
  • D. Havana, Ohio
    Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
  • E. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619ac26d4819095836d737b629cf1 completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.