Triple

T8126540
Position Surface form Disambiguated ID Type / Status
Subject Kettering, Ohio E189742 entity
Predicate borderedBy P224 FINISHED
Object Oakwood, Ohio E616307 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: Oakwood, Ohio | Statement: [Kettering, Ohio, borderedBy, Oakwood, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakwood, Ohio
Context triple: [Kettering, Ohio, borderedBy, Oakwood, Ohio]
  • A. Oakwood, Ohio chosen
    Oakwood, Ohio is a small, affluent suburban city near Dayton known for its historic homes, strong public schools, and tree-lined residential neighborhoods.
  • B. Norwood, Ohio
    Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
  • C. Springwood, Ohio
    Springwood, Ohio is the fictional Midwestern town that serves as the primary setting for the A Nightmare on Elm Street horror film series, known as the stalking grounds of the killer Freddy Krueger.
  • D. Oxford, Ohio
    Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
  • E. Woodmere, Ohio
    Woodmere, Ohio is a small suburban village in Cuyahoga County known for its upscale retail and commercial corridor along Chagrin Boulevard.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438eb778819085296e6cbfa2e70d completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1c99f0a881908418ddf281acdd69 completed April 2, 2026, 7:36 a.m.
Created at: March 30, 2026, 5:34 p.m.