Triple

T6597345
Position Surface form Disambiguated ID Type / Status
Subject Montgomery County, Ohio E148509 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: [Montgomery County, Ohio, containsCity, Kettering, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettering, Ohio
Context triple: [Montgomery County, Ohio, 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. 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. 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.
  • E. Hilliard, Ohio
    Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeee738081908913f4f8c6699bd9 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf66c0308190a09736eafe61c966 completed March 28, 2026, 11:45 a.m.
Created at: March 27, 2026, 1:56 p.m.