Triple

T4795847
Position Surface form Disambiguated ID Type / Status
Subject Stade olympique de Montréal E106708 entity
Predicate publicTransitAccess P1288 FINISHED
Object Viau station E422835 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: Viau station | Statement: [Stade olympique de Montréal, publicTransitAccess, Viau station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viau station
Context triple: [Stade olympique de Montréal, 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. 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.
  • D. Wawa station
    Wawa station is a commuter rail station in Wawa, Pennsylvania, serving as the terminus of SEPTA's Media/Wawa Line.
  • E. Kommunarka station
    Kommunarka station is a southern terminal metro station on Moscow’s Sokolnicheskaya Line, serving the rapidly developing Kommunarka district.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6609e9888190b49f99bb9fb2279d completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9a76c08190bd19fcef378cd640 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.