Triple

T13065355
Position Surface form Disambiguated ID Type / Status
Subject Dayton metropolitan area E329307 entity
Predicate containsCity P294 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: [Dayton metropolitan area, containsCity, Kettering, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettering, Ohio
Context triple: [Dayton metropolitan area, containsCity, 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. 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.
  • D. 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.
  • E. Austintown, Ohio
    Austintown, Ohio is a suburban community near Youngstown known for its residential neighborhoods, schools, and role as part of the greater Mahoning Valley region.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980eb81948190b27eb9ae19978079 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d6016984819097c999772db1e831 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:59 p.m.