Triple

T6916514
Position Surface form Disambiguated ID Type / Status
Subject St. George Street E160067 entity
Predicate hasCampusRole P2465 FINISHED
Object main north–south spine of University of Toronto St. George campus 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: main north–south spine of University of Toronto St. George campus | Statement: [St. George Street, hasCampusRole, main north–south spine of University of Toronto St. George campus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCampusRole
Context triple: [St. George Street, hasCampusRole, main north–south spine of University of Toronto St. George campus]
  • A. campusRole
    Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
  • B. hasSubCampus
    Indicates that an institution or main campus includes or is associated with a smaller, subordinate campus as part of its organizational structure.
  • C. isPartOfCampus
    Indicates that one place, facility, or area is located within and belongs to a larger campus.
  • D. hasCampusFeature chosen
    Indicates that a campus possesses or includes a specific physical or functional feature.
  • E. hasCollegeCampus
    Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e034cc81908f1e8f31b055e119 completed March 27, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69c6d7b93d688190a297244ce81b67ac completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:26 p.m.