Triple

T8827865
Position Surface form Disambiguated ID Type / Status
Subject Canada Place E210060 entity
Predicate hasNearbyTransit P5822 FINISHED
Object Waterfront Station E276150 NE 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: Waterfront Station | Statement: [Canada Place, hasNearbyTransit, Waterfront Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterfront Station
Context triple: [Canada Place, hasNearbyTransit, Waterfront Station]
  • A. Waterfront Station chosen
    Waterfront Station is a major transit hub in downtown Vancouver, British Columbia, serving multiple rail and bus lines and providing access to the historic Gastown district.
  • B. Bayside Station
    Bayside Station is a monorail stop on Tokyo Disney Resort’s Disney Resort Line serving nearby hotels and resort facilities.
  • C. Civic Center Station
    Civic Center Station is a major San Francisco Bay Area Rapid Transit (BART) and Muni Metro subway station serving the heart of San Francisco near key civic and cultural institutions.
  • D. Bayside station
    Bayside station is a Long Island Rail Road commuter rail stop in the Bayside neighborhood of Queens, New York City.
  • E. Millennium Station
    Millennium Station is a major downtown Chicago commuter rail terminal serving Metra Electric District and South Shore Line trains beneath Millennium Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604ac0288190b59344bced8ac733 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba0609a4819081cae3ae3d5a8478 completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:47 p.m.