Triple

T11786835
Position Surface form Disambiguated ID Type / Status
Subject Westmoreland County E280289 entity
Predicate hasCity P316 FINISHED
Object Jeannette E756531 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: Jeannette | Statement: [Westmoreland County, hasCity, Jeannette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeannette
Context triple: [Westmoreland County, hasCity, Jeannette]
  • A. Jeannette
    Jeannette is a surname most notably associated with Buddy Jeannette, a prominent American professional basketball player and coach.
  • B. Jeannette chosen
    Jeannette is a feminine given name, typically considered a diminutive or variant of the name Jean or Jeanne.
  • C. L’Enfant
    L’Enfant is the surname of Pierre Charles L’Enfant, the French-born American architect and civil engineer best known for designing the basic plan for Washington, D.C.
  • D. L’Enfant
    "L’Enfant" is a contemplative instrumental track by Greek composer Vangelis, featured on his 1979 electronic album *Opera Sauvage* and later known for its use in film and television.
  • E. Jane and Finch
    Jane and Finch is a diverse, historically marginalized neighborhood in northwest Toronto known for its high-rise apartments, vibrant immigrant communities, and ongoing social and economic revitalization efforts.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090e8828481908baa7f6067190db3 completed April 28, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:42 p.m.