Triple

T854765
Position Surface form Disambiguated ID Type / Status
Subject Downtown Toronto E18465 entity
Predicate servedBy P82 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: [Downtown Toronto, servedBy, GO Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GO Transit
Context triple: [Downtown Toronto, servedBy, 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3a48c08190b4677d825fcbfaf9 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8494840819091324bf603ff8d7c completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.