Triple

T18488413
Position Surface form Disambiguated ID Type / Status
Subject Finley E451750 entity
Predicate hasVariant P455 FINISHED
Object Findlay 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 | Statement: [Finley, hasVariant, Findlay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Findlay
Context triple: [Finley, hasVariant, Findlay]
  • A. Findlay chosen
    Findlay is a given name and surname of Scottish origin, often considered a variant of the name Finn or Finlay.
  • B. Findlay, Ohio
    Findlay, Ohio is a small city in northwestern Ohio known for its historic downtown, manufacturing base, and role as the seat of Hancock County.
  • C. Havana, Ohio
    Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
  • D. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • E. 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.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d8bac4819099306abbf78b9565 completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.