Triple

T789203
Position Surface form Disambiguated ID Type / Status
Subject Line 4 Sheppard E16872 entity
Predicate hasFareMedium P9955 FINISHED
Object Presto card 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 | Statement: [Line 4 Sheppard, hasFareMedium, Presto card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Presto card
Context triple: [Line 4 Sheppard, hasFareMedium, Presto card]
  • 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. Clipper card
    The Clipper card is a reloadable contactless smart card used to pay fares across multiple public transit systems in the San Francisco Bay Area.
  • C. 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.
  • D. 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.
  • E. OPUS card
    The OPUS card is a reusable, contactless smart card used for public transit fare payment across the greater Montreal area and other regions in Quebec.
  • 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: hasFareMedium
Context triple: [Line 4 Sheppard, hasFareMedium, Presto card]
  • A. usesFareMedium chosen
    Indicates that an entity employs a particular fare medium (such as a ticket, card, or pass) as the method of payment or validation for a trip or service.
  • 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. hasFareControlIntegrationSince
    Indicates that a fare control system has been integrated with another system or entity starting from a specific point in time.
  • E. hasFaregates
    Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7841b0c8190859ecd247e32c6ec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787eac608190acc40d56f827284e completed March 3, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69a4a50ef72c819084ffe9f31dbd0262 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:38 p.m.