Triple

T22789803
Position Surface form Disambiguated ID Type / Status
Subject York census division E564077 entity
Predicate GNBCCode P147658 FINISHED
Object FBDWH LITERAL 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: FBDWH | Statement: [York census division, GNBCCode, FBDWH]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: GNBCCode
Context triple: [York census division, GNBCCode, FBDWH]
  • A. hasGNBCCode chosen
    Indicates that an entity is associated with a specific GNBC (Geographical Names Board of Canada) code used to uniquely identify Canadian geographical names.
  • B. numericCode
    Indicates that an entity is associated with a specific numerical identifier or classification code.
  • C. gameCode
    Indicates a code or identifier assigned to a specific game instance or type.
  • D. segmentCode
    Indicates a code that identifies or classifies a specific segment within a larger structure, sequence, or process.
  • E. hasGssCode
    Indicates that an entity is associated with a specific GSS (Government Statistical Service) code used for official geographic or statistical identification.
  • F. None of above.

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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c3488708190812f7d2edac92184 completed April 29, 2026, 3:34 a.m.
PD Predicate disambiguation batch_69eed2c32e8c8190b73bb9965ed47d64 completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:29 p.m.