Triple

T4730942
Position Surface form Disambiguated ID Type / Status
Subject Nick Mangold E105003 entity
Predicate highSchoolLocation P263 FINISHED
Object Kettering, Ohio E189742 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: Kettering, Ohio | Statement: [Nick Mangold, highSchoolLocation, Kettering, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettering, Ohio
Context triple: [Nick Mangold, highSchoolLocation, Kettering, Ohio]
  • A. Kettering, Ohio chosen
    Kettering, Ohio is a suburban city near Dayton known for its residential communities, parks, and role as a commercial and cultural hub in the Miami Valley region.
  • B. Kent, Ohio
    Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
  • C. Kings Mills, Ohio
    Kings Mills, Ohio is a small unincorporated community in Warren County best known for hosting the College Football Hall of Fame before it moved to South Bend and later Atlanta.
  • D. Hilliard, Ohio
    Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
  • E. Worthington, Ohio
    Worthington, Ohio is a historic suburban city just north of Columbus known for its New England–style village green, strong schools, and community-focused character.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64629bc081908754aa8a2630091f completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c8a20a88190a668251abbc1c7c8 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:19 p.m.