Triple

T21411683
Position Surface form Disambiguated ID Type / Status
Subject Stevens Point E528186 entity
Predicate locatedInMetropolitanArea P294 FINISHED
Object Stevens Point Micropolitan Statistical 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: Stevens Point Micropolitan Statistical Area | Statement: [Stevens Point, locatedInMetropolitanArea, Stevens Point Micropolitan Statistical Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stevens Point Micropolitan Statistical Area
Context triple: [Stevens Point, locatedInMetropolitanArea, Stevens Point Micropolitan Statistical Area]
  • A. Wausau Metropolitan Statistical Area
    The Wausau Metropolitan Statistical Area is a U.S. Census-defined region in central Wisconsin centered on the city of Wausau, encompassing surrounding communities that share strong economic and social ties.
  • B. Manitowoc Micropolitan Statistical Area
    The Manitowoc Micropolitan Statistical Area is a U.S. Census-defined region in eastern Wisconsin centered on the city of Manitowoc and its surrounding communities, including Two Rivers.
  • C. Marquette micropolitan area
    The Marquette micropolitan area is a small urban region in Michigan’s Upper Peninsula centered on the city of Marquette and its surrounding communities, serving as a local hub for education, healthcare, and commerce.
  • D. Appleton–Oshkosh–Neenah metropolitan area
    The Appleton–Oshkosh–Neenah metropolitan area is a regional urban and economic hub in Wisconsin centered on the Fox River cities of Appleton, Oshkosh, and Neenah.
  • E. Stevens Point
    Stevens Point is a small city in central Wisconsin known for its university, historic downtown, and access to outdoor recreation along the Wisconsin River.
  • 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: Stevens Point Micropolitan Statistical Area
Target entity description: The Stevens Point Micropolitan Statistical Area is a U.S. Census Bureau-defined region in central Wisconsin centered on the city of Stevens Point, encompassing its surrounding communities for demographic and economic analysis.
  • A. Wausau Metropolitan Statistical Area
    The Wausau Metropolitan Statistical Area is a U.S. Census-defined region in central Wisconsin centered on the city of Wausau, encompassing surrounding communities that share strong economic and social ties.
  • B. Manitowoc Micropolitan Statistical Area
    The Manitowoc Micropolitan Statistical Area is a U.S. Census-defined region in eastern Wisconsin centered on the city of Manitowoc and its surrounding communities, including Two Rivers.
  • C. Marquette micropolitan area
    The Marquette micropolitan area is a small urban region in Michigan’s Upper Peninsula centered on the city of Marquette and its surrounding communities, serving as a local hub for education, healthcare, and commerce.
  • D. Appleton–Oshkosh–Neenah metropolitan area
    The Appleton–Oshkosh–Neenah metropolitan area is a regional urban and economic hub in Wisconsin centered on the Fox River cities of Appleton, Oshkosh, and Neenah.
  • E. Stevens Point
    Stevens Point is a small city in central Wisconsin known for its university, historic downtown, and access to outdoor recreation along the Wisconsin River.
  • F. None of above. chosen

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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b1fe2cd08190bfaf28daae4f5233 completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:43 p.m.