Triple

T6093279
Position Surface form Disambiguated ID Type / Status
Subject International Street (Canada's Wonderland) E135816 entity
Predicate isPrimaryPhotoSpotFor P49165 FINISHED
Object Canada's Wonderland visitors 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: Canada's Wonderland visitors | Statement: [International Street (Canada's Wonderland), isPrimaryPhotoSpotFor, Canada's Wonderland visitors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPrimaryPhotoSpotFor
Context triple: [International Street (Canada's Wonderland), isPrimaryPhotoSpotFor, Canada's Wonderland visitors]
  • A. hasPhotoSpot chosen
    Indicates that a location or entity includes or is associated with a designated place suitable for taking photographs.
  • B. isPhotographicSubject
    Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
  • C. hasPhotoOn
    Indicates that one entity has an associated photograph stored, displayed, or linked on another entity (such as a platform, page, or medium).
  • D. hasPhotograph
    Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
  • E. hasPhotoFeature
    Indicates that an entity possesses a characteristic, capability, or option specifically related to photos or photography.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ac8c7481909fb22cf157be45ce completed March 22, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69c049f3b1ec8190bea67a7bec6442a5 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:12 p.m.