Triple

T31281698
Position Surface form Disambiguated ID Type / Status
Subject Pickering A E797686 entity
Predicate hasOriginalSection P102901 FINISHED
Object western section of Pickering Nuclear Generating Station 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: western section of Pickering Nuclear Generating Station | Statement: [Pickering A, hasOriginalSection, western section of Pickering Nuclear Generating Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOriginalSection
Context triple: [Pickering A, hasOriginalSection, western section of Pickering Nuclear Generating Station]
  • A. hasOriginalPart chosen
    Indicates that an entity includes a component or segment that is part of its initial, original composition.
  • B. hasOriginalVersion
    Indicates that one entity is the original or initial version from which another entity is derived or adapted.
  • C. hasFormerSection
    Indicates that an entity previously contained another entity as a section or subdivision, but no longer does so in its current structure.
  • D. hasOriginalComposition
    Indicates that one entity is the initial or primary compositional source or makeup of another entity.
  • E. hasPreservedSections
    Indicates that an entity retains certain parts or portions of its original form or content in a preserved state.
  • 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_69f224def9088190a37034eab3daf57f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd509e6bc08190b263923c2f40fea3 completed May 8, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69fd4fd1a58881909d4b84de1b24e380 completed May 8, 2026, 2:52 a.m.
Created at: April 29, 2026, 9:13 p.m.