Triple

T15422552
Position Surface form Disambiguated ID Type / Status
Subject DAV E369417 entity
Predicate hasFareSystemOfStation P395 FINISHED
Object Presto card (Toronto) E31472 NE FINISHED

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: Presto card (Toronto) | Statement: [DAV, hasFareSystemOfStation, Presto card (Toronto)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Presto card (Toronto)
Context triple: [DAV, hasFareSystemOfStation, Presto card (Toronto)]
  • A. Presto card chosen
    The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
  • B. Pronto card
    The Pronto card is a reloadable smart fare card used for paying public transit fares across the San Diego Metropolitan Transit System and related services.
  • C. TAP card
    The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
  • D. Breeze Card
    The Breeze Card is a reusable smart fare card used for paying transit fares across the Metropolitan Atlanta Rapid Transit Authority (MARTA) system in Atlanta, Georgia.
  • E. Metro TAP card
    The Metro TAP card is a reusable, reloadable smart fare card used for contactless payment across the Los Angeles County public transit system.
  • 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: hasFareSystemOfStation
Context triple: [DAV, hasFareSystemOfStation, Presto card (Toronto)]
  • A. hasFareZoneSystem
    Indicates that an entity uses or is associated with a particular fare zone system for determining travel costs or ticketing.
  • B. hasFareZone
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • C. fareSystem chosen
    Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
  • D. hasFareZoneFeature
    Indicates that an entity is associated with a specific fare zone or fare-related area designation.
  • E. fareSystemFeature
    Indicates that a fare system possesses or supports a particular feature, function, or characteristic related to how fares are calculated, managed, or used.
  • F. None of above.

Provenance (4 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7d02a08190a1e34e3a014acea9 completed May 9, 2026, 11:29 a.m.
PD Predicate disambiguation batch_69ded27f45548190a6d2b1b85cb47444 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:20 a.m.