Triple

T326319
Position Surface form Disambiguated ID Type / Status
Subject Pitt E6526 entity
Predicate hasVariant P455 FINISHED
Object Pitt(e) E6526 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: Pitt(e) | Statement: [Pitt, hasVariant, Pitt(e)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitt(e)
Context triple: [Pitt, hasVariant, Pitt(e)]
  • A. Pitt chosen
    Pitt is the surname of William Pitt the Elder, an influential 18th-century British statesman and prime minister known for his leadership during the Seven Years' War.
  • B. Pittite
    Pittite refers to a political supporter or follower of William Pitt the Younger and his policies in late 18th- and early 19th-century British politics.
  • C. 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.
  • D. Duquesne, Pennsylvania
    Duquesne, Pennsylvania is a small industrial city along the Monongahela River near Pittsburgh, historically known as a major steel-producing community in the American Rust Belt.
  • E. Colma
    Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea974d8481908c7d84f72a7728b6 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfec426081908a0c7e968846515a completed March 1, 2026, 5:34 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.