Triple

T23223416
Position Surface form Disambiguated ID Type / Status
Subject Edgewood, Pennsylvania E580954 entity
Predicate isPartOfStatisticalArea P294 FINISHED
Object Pittsburgh metropolitan 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: Pittsburgh metropolitan statistical area | Statement: [Edgewood, Pennsylvania, isPartOfStatisticalArea, Pittsburgh metropolitan statistical area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pittsburgh metropolitan statistical area
Context triple: [Edgewood, Pennsylvania, isPartOfStatisticalArea, Pittsburgh metropolitan statistical area]
  • A. Pittsburgh region
    The Pittsburgh region is a historically significant industrial area in western Pennsylvania, long known as a major center of steel production and manufacturing.
  • B. Pittsburgh–New Castle–Weirton combined statistical area
    The Pittsburgh–New Castle–Weirton combined statistical area is a multi-state U.S. region centered on Pittsburgh that integrates surrounding metropolitan and micropolitan areas into a single large economic and population hub.
  • C. Pittsburg micropolitan area
    The Pittsburg micropolitan area is a small urban region in southeastern Kansas centered around the city of Pittsburg and its surrounding communities.
  • D. Pittsburgh, Pennsylvania
    Pittsburgh, Pennsylvania is a major U.S. city in western Pennsylvania known for its historic steel industry, numerous bridges, and strong educational and technology sectors.
  • E. Erie metropolitan area
    The Erie metropolitan area is a regional urban and economic hub in northwestern Pennsylvania centered on the city of Erie along the shores of Lake Erie.
  • 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: Pittsburgh metropolitan statistical area
Target entity description: The Pittsburgh metropolitan statistical area is a major urban region in western Pennsylvania centered on the city of Pittsburgh and encompassing numerous surrounding communities across several counties.
  • A. Pittsburgh region chosen
    The Pittsburgh region is a historically significant industrial area in western Pennsylvania, long known as a major center of steel production and manufacturing.
  • B. Pittsburgh–New Castle–Weirton combined statistical area
    The Pittsburgh–New Castle–Weirton combined statistical area is a multi-state U.S. region centered on Pittsburgh that integrates surrounding metropolitan and micropolitan areas into a single large economic and population hub.
  • C. Pittsburg micropolitan area
    The Pittsburg micropolitan area is a small urban region in southeastern Kansas centered around the city of Pittsburg and its surrounding communities.
  • D. Pittsburgh, Pennsylvania
    Pittsburgh, Pennsylvania is a major U.S. city in western Pennsylvania known for its historic steel industry, numerous bridges, and strong educational and technology sectors.
  • E. Erie metropolitan area
    The Erie metropolitan area is a regional urban and economic hub in northwestern Pennsylvania centered on the city of Erie along the shores of Lake Erie.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922b4a348190ae570a869e30059f completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.