Triple

T34800634
Position Surface form Disambiguated ID Type / Status
Subject Toronto–Montreal E1003208 entity
Predicate connectsCulturalCenter P125492 FINISHED
Object Montreal NE NERFINISHED

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: Montreal | Statement: [Toronto–Montreal, connectsCulturalCenter, Montreal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsCulturalCenter
Context triple: [Toronto–Montreal, connectsCulturalCenter, Montreal]
  • A. connectsCulturalHub chosen
    Indicates a relationship where one entity serves as a link or bridge to a central place or node of cultural activity, exchange, or significance.
  • B. isCulturalCenterFor
    Indicates that one entity serves as a primary hub or focal point for the cultural activities, heritage, or identity of another entity.
  • C. culturalOrganization
    Indicates that an entity is an organization whose primary purpose involves cultural activities, preservation, or promotion.
  • D. isCulturalCenter
    Indicates that an entity serves as a primary hub or focal point for the cultural activities, expressions, and institutions of a community or region.
  • E. hasCulturalCentre
    Indicates that one entity possesses, hosts, or contains a cultural centre associated with it.
  • 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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff691f5ae481908597ce245188d31c completed May 9, 2026, 5:04 p.m.
PD Predicate disambiguation batch_69ff67ceeeb081909fd00cad166c4b6a completed May 9, 2026, 4:58 p.m.
Created at: May 3, 2026, 3:59 p.m.