Triple

T1036002
Position Surface form Disambiguated ID Type / Status
Subject Greene County, Pennsylvania E22363 entity
Predicate partOf P40 FINISHED
Object Greater Pittsburgh region E1400 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: Greater Pittsburgh region | Statement: [Greene County, Pennsylvania, partOf, Greater Pittsburgh region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Pittsburgh region
Context triple: [Greene County, Pennsylvania, partOf, Greater Pittsburgh region]
  • 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. Harrisburg–Carlisle metropolitan area
    The Harrisburg–Carlisle metropolitan area is a U.S. metro region centered on Pennsylvania’s state capital, Harrisburg, and the nearby borough of Carlisle, serving as a political, economic, and transportation hub for the surrounding region.
  • C. Scranton–Wilkes-Barre metropolitan area
    The Scranton–Wilkes-Barre metropolitan area is a northeastern Pennsylvania urban region centered around the cities of Scranton and Wilkes-Barre, known historically for coal mining and railroads and now a diversified economic and cultural hub.
  • D. Parkersburg–Vienna metropolitan area
    The Parkersburg–Vienna metropolitan area is a small urban region in northwestern West Virginia centered on the neighboring cities of Parkersburg and Vienna along the Ohio River.
  • E. Cincinnati metropolitan area
    The Cincinnati metropolitan area is a multi-state urban and suburban region centered on the city of Cincinnati, encompassing parts of Ohio, Kentucky, and Indiana and serving as a major economic and cultural hub of the Midwest.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b816272c8190a12e470c4d4ebcf9 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42990be88190aeda5ec08fce5288 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:41 p.m.