Triple

T17699968
Position Surface form Disambiguated ID Type / Status
Subject Olympic Park (Montreal) E441269 entity
Predicate publicTransitAccess P1288 FINISHED
Object Viau station 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: Viau station | Statement: [Olympic Park (Montreal), publicTransitAccess, Viau station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viau station
Context triple: [Olympic Park (Montreal), publicTransitAccess, Viau station]
  • A. Viau station chosen
    Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
  • B. Oriente station
    Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
  • C. Vejby Station
    Vejby Station is a local railway station in the town of Vejby in North Zealand, Denmark, serving passengers on the regional rail network.
  • D. Bolna Station
    Bolna Station is a remote railway stop on Norway’s Nordland Line, serving the mountainous Saltfjellet region just north of the Arctic Circle.
  • E. Recreo station
    Recreo station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal area between Valparaíso and Viña del Mar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e471597d5c8190bd06337239739cd7 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.