Triple

T11808903
Position Surface form Disambiguated ID Type / Status
Subject GO Transit Zone 01 E280818 entity
Predicate fareImpact P12539 FINISHED
Object affects cost of trips between downtown Toronto and outer zones LITERAL 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: affects cost of trips between downtown Toronto and outer zones | Statement: [GO Transit Zone 01, fareImpact, affects cost of trips between downtown Toronto and outer zones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fareImpact
Context triple: [GO Transit Zone 01, fareImpact, affects cost of trips between downtown Toronto and outer zones]
  • A. transportationImpact
    Indicates how one entity’s transportation-related activities or characteristics affect another entity or the surrounding environment.
  • B. fareProblem
    Indicates that there is an issue, dispute, or irregularity related to the fare charged or paid for a trip or service.
  • C. infrastructureImpact
    Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
  • D. fare chosen
    Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
  • E. roadAffected
    Indicates that a road is impacted or disrupted by a condition, event, or action, such as construction, accidents, or adverse weather.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a658f918819092c2db05fe2ab0ce completed April 10, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69d8a24e9a088190aff7932d1ff93dbf completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:42 p.m.