Triple

T16142058
Position Surface form Disambiguated ID Type / Status
Subject Orange Township, Ohio E391681 entity
Predicate hasPart P35 FINISHED
Object Woodmere, 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: Woodmere, Ohio | Statement: [Orange Township, Ohio, hasPart, Woodmere, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodmere, Ohio
Context triple: [Orange Township, Ohio, hasPart, Woodmere, Ohio]
  • A. Woodmere, Ohio chosen
    Woodmere, Ohio is a small suburban village in Cuyahoga County known for its upscale retail and commercial corridor along Chagrin Boulevard.
  • B. Whitehouse, Ohio
    Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
  • C. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • D. Germantown, Ohio
    Germantown, Ohio is a small historic village in southwestern Ohio known for its well-preserved 19th-century architecture and German heritage.
  • E. Waverly, Ohio
    Waverly, Ohio is a small city in southern Ohio known as the hometown of the country rock band Pure Prairie League.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9082588190bc7e6ff491f0d94e completed April 17, 2026, 11:46 a.m.
Created at: April 10, 2026, 5:01 a.m.