Triple

T6506035
Position Surface form Disambiguated ID Type / Status
Subject GO Transit Barrie line E150009 entity
Predicate hasStation P35 FINISHED
Object Maple GO Station E149514 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: Maple GO Station | Statement: [GO Transit Barrie line, hasStation, Maple GO Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maple GO Station
Context triple: [GO Transit Barrie line, hasStation, Maple GO Station]
  • A. Maple GO Station chosen
    Maple GO Station is a commuter rail station in Maple, Ontario, serving as a local stop on GO Transit's regional rail network in the Greater Toronto Area.
  • B. Maple Library
    Maple Library is a public community library serving residents of the Maple neighbourhood in Vaughan, Ontario.
  • C. Maple
    Maple is a comprehensive computer algebra system used for symbolic and numeric mathematics, modeling, and technical computing across education and research.
  • D. Maple City Four
    Maple City Four was a singing quartet that appeared as musical performers in early Western films.
  • E. Maple Jordan
    Maple Jordan is the nickname of Canadian NBA player Andrew Wiggins, highlighting his high-flying, Jordan-like playing style and Canadian roots.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69966ff708190902c88cb6b48e5d7 completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb4aa1708190aa58a5c40af56eb2 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.