Triple

T17837490
Position Surface form Disambiguated ID Type / Status
Subject Moraine, Ohio E445427 entity
Predicate adjacentTo P224 FINISHED
Object Kettering, 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: Kettering, Ohio | Statement: [Moraine, Ohio, adjacentTo, Kettering, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettering, Ohio
Context triple: [Moraine, Ohio, adjacentTo, 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. Sylvania, Ohio
    Sylvania, Ohio is a suburban city near Toledo known for its residential communities, strong school system, and proximity to the Michigan border.
  • D. Tiffin, Ohio
    Tiffin, Ohio is a small city in northwestern Ohio known for its historic downtown and as the home of Heidelberg University and Tiffin University.
  • E. 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.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d28c14881909033abd09bbdb135 completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.