Triple

T17039703
Position Surface form Disambiguated ID Type / Status
Subject College of Wooster E413412 entity
Predicate locatedIn P40 FINISHED
Object Wooster, 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: Wooster, Ohio | Statement: [College of Wooster, locatedIn, Wooster, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wooster, Ohio
Context triple: [College of Wooster, locatedIn, Wooster, Ohio]
  • A. Wooster, Ohio chosen
    Wooster, Ohio is a small city in northeastern Ohio known for hosting the College of Wooster and serving as a regional center for education, culture, and agriculture.
  • B. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • C. Norwood, Ohio
    Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
  • D. Waverly, Ohio
    Waverly, Ohio is a small city in southern Ohio known as the hometown of the country rock band Pure Prairie League.
  • E. Whitehouse, Ohio
    Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f5844c819097eade4a2b42ab91 completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 5:33 a.m.