Triple

T18384494
Position Surface form Disambiguated ID Type / Status
Subject Micropolitan areas of Ohio E446545 entity
Predicate include P1393 FINISHED
Object Wapakoneta micropolitan area NE NERFINISHED

How this triple was built (3 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: Wapakoneta micropolitan area | Statement: [Micropolitan areas of Ohio, include, Wapakoneta micropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wapakoneta micropolitan area
Context triple: [Micropolitan areas of Ohio, include, Wapakoneta micropolitan area]
  • A. Wapakoneta, Ohio
    Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
  • B. Sandusky micropolitan area
    The Sandusky micropolitan area is a small urban region in northern Ohio centered on the city of Sandusky and its surrounding communities along the Lake Erie shoreline.
  • C. Ashtabula micropolitan area
    The Ashtabula micropolitan area is a small urban region in northeastern Ohio centered around the city of Ashtabula and its surrounding communities.
  • D. Columbus micropolitan area
    The Columbus micropolitan area is a small urban region in northeastern Mississippi centered on the city of Columbus and its surrounding communities, recognized for its local economy, educational institutions, and regional services.
  • E. Youngstown–Warren–Boardman metropolitan area
    The Youngstown–Warren–Boardman metropolitan area is a multi-county urban and industrial region in northeastern Ohio and western Pennsylvania centered on the city of Youngstown.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wapakoneta micropolitan area
Target entity description: The Wapakoneta micropolitan area is a small urban-centered region in Ohio anchored by the city of Wapakoneta and its surrounding communities, recognized for statistical and economic analysis.
  • A. Wapakoneta, Ohio chosen
    Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
  • B. Sandusky micropolitan area
    The Sandusky micropolitan area is a small urban region in northern Ohio centered on the city of Sandusky and its surrounding communities along the Lake Erie shoreline.
  • C. Ashtabula micropolitan area
    The Ashtabula micropolitan area is a small urban region in northeastern Ohio centered around the city of Ashtabula and its surrounding communities.
  • D. Columbus micropolitan area
    The Columbus micropolitan area is a small urban region in northeastern Mississippi centered on the city of Columbus and its surrounding communities, recognized for its local economy, educational institutions, and regional services.
  • E. Youngstown–Warren–Boardman metropolitan area
    The Youngstown–Warren–Boardman metropolitan area is a multi-county urban and industrial region in northeastern Ohio and western Pennsylvania centered on the city of Youngstown.
  • F. None of above.

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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179da1048190944398e229e7a4c1 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.