Triple

T1257412
Position Surface form Disambiguated ID Type / Status
Subject Union Station, Toronto E12424 entity
Predicate railServicesOperator P20222 FINISHED
Object GO Transit E61153 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: GO Transit | Statement: [Union Station, Toronto, railServicesOperator, GO Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GO Transit
Context triple: [Union Station, Toronto, railServicesOperator, GO Transit]
  • A. GO Transit chosen
    GO Transit is a regional public transit system in Southern Ontario, Canada, providing commuter rail and bus services connecting Toronto with surrounding municipalities.
  • B. OC Transpo
    OC Transpo is the public transit agency that operates bus and light rail services throughout Ottawa, Ontario.
  • C. York Region Transit
    York Region Transit is the public transportation system serving communities across York Region in Ontario, Canada, operating local and rapid bus services that connect towns and cities north of Toronto.
  • D. Toronto Transit Commission
    The Toronto Transit Commission is the public agency that operates Toronto’s primary network of subways, buses, and streetcars.
  • E. CTtransit
    CTtransit is Connecticut’s primary statewide public bus system, operating local and express routes in multiple cities and regions under contract with the Connecticut Department of Transportation.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfa8cfa08190ac49c437a94a843c completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93cdba808190b7d164bb98efe3dc completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:50 p.m.