Triple

T9011429
Position Surface form Disambiguated ID Type / Status
Subject GO Transit Milton line E215481 entity
Predicate hasStation P35 FINISHED
Object Kipling GO Station E65050 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: Kipling GO Station | Statement: [GO Transit Milton line, hasStation, Kipling GO Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kipling GO Station
Context triple: [GO Transit Milton line, hasStation, Kipling GO Station]
  • A. Kipling station chosen
    Kipling station is a major western transit hub in Toronto that connects the subway system with regional buses and commuter services.
  • B. Wonderland station
    Wonderland station is a major Massachusetts Bay Transportation Authority rapid transit hub in Revere, Massachusetts, serving as the northern endpoint of Boston’s Blue Line near Revere Beach.
  • C. Central Station
    Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
  • D. Central Station
    Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
  • E. Central Station
    Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c1571881908d0b144786b5ee1f completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9dca848190952427bb5712081f completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.