Triple

T19442003
Position Surface form Disambiguated ID Type / Status
Subject Toronto public transit network E486372 entity
Predicate hasComponentSystem P25619 FINISHED
Object Toronto subway NE NERFINISHED

How this triple was built (3 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: Toronto subway | Statement: [Toronto public transit network, hasComponentSystem, Toronto subway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto subway
Context triple: [Toronto public transit network, hasComponentSystem, Toronto subway]
  • A. Toronto subway chosen
    The Toronto subway is the primary rapid transit system in Toronto, Ontario, consisting of multiple underground and elevated lines that serve as the backbone of the city’s public transportation network.
  • B. Montreal Metro
    The Montreal Metro is the rubber-tired rapid transit system serving the city of Montreal and its surrounding areas, known for its extensive underground network and distinctively designed stations.
  • C. Toronto Civic Railways
    Toronto Civic Railways was a municipally owned streetcar system that operated in Toronto in the early 20th century before being absorbed into the unified public transit network.
  • D. Réseau express métropolitain
    The Réseau express métropolitain (REM) is a fully automated, high-frequency light metro system serving the Greater Montreal area and designed to improve regional transit connectivity.
  • E. TTC network
    The TTC network is Toronto’s integrated public transit system, encompassing subway, streetcar, and bus services across the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasComponentSystem
Context triple: [Toronto public transit network, hasComponentSystem, Toronto subway]
  • A. hasComponentModel
    Indicates that an entity includes or is associated with a specific component model as part of its structure or configuration.
  • B. hasServerComponent
    Indicates that an entity includes, depends on, or is associated with a particular server-side component.
  • C. hasSubcomponent chosen
    Indicates that one entity is a constituent part or component of another, larger entity.
  • D. hasComponentGroup
    Indicates that an entity includes or is associated with a specific group of components treated as a single unit.
  • E. hasComponentProgram
    Indicates that one program includes or is composed of another program as a component or sub-program.
  • F. None of above.

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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63365343081908683c29f6c4c194b completed April 20, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69e4fd6e806081909053f325ba01ab6b completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:38 p.m.