Triple

T2881800
Position Surface form Disambiguated ID Type / Status
Subject Eglinton station E59412 entity
Predicate farePaidArea P39868 FINISHED
Object integrated with bus terminal 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: integrated with bus terminal | Statement: [Eglinton station, farePaidArea, integrated with bus terminal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: farePaidArea
Context triple: [Eglinton station, farePaidArea, integrated with bus terminal]
  • A. hasFarePaidArea chosen
    Indicates that an entity includes or is associated with a zone where access is restricted to users who have paid a fare.
  • B. hasFareZone
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • C. fareSystem
    Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
  • D. fareIntegration
    Indicates that multiple transportation services or modes share a coordinated fare system, allowing passengers to use a single payment or ticket across them.
  • E. fareType
    Indicates the category or class of fare (such as standard, discounted, or promotional) that applies to a given trip, ticket, or pricing instance.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe02aa5948190a2e0bd9168232bd5 completed March 7, 2026, 8:22 a.m.
PD Predicate disambiguation batch_69abdd15cbf08190bf7fea5ea516848a completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:03 p.m.