Triple

T458438
Position Surface form Disambiguated ID Type / Status
Subject Line 1 Yonge–University E7281 entity
Predicate hasStation P35 FINISHED
Object Museum station E20378 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: Museum station | Statement: [Line 1 Yonge–University, hasStation, Museum station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museum station
Context triple: [Line 1 Yonge–University, hasStation, Museum station]
  • A. Museum subway station chosen
    Museum subway station is a Toronto Transit Commission subway station on Line 1 located near the Royal Ontario Museum and the University of Toronto’s St. George campus.
  • B. Convention Center station
    Convention Center station is a light rail stop in downtown Baltimore, Maryland, serving the Baltimore Light RailLink system near the Baltimore Convention Center.
  • C. Ayer station
    Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
  • D. Government Center station
    Government Center station is a major Boston subway hub and transfer point in downtown Boston, serving multiple MBTA Green Line branches and the Blue Line.
  • E. Osakajokoen Station
    Osakajokoen Station is a railway station in Osaka, Japan that serves as a primary access point for visitors to Osaka Castle and its surrounding 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa3163081909acff040a22bd559 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f56b3808190b34ddd3e60b84f85 completed March 1, 2026, 2:38 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.