Triple

T31329113
Position Surface form Disambiguated ID Type / Status
Subject Navigo fare system E798975 entity
Predicate supportsMobileTicketing P41459 FINISHED
Object yes, via NFC-enabled smartphones for some products 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: yes, via NFC-enabled smartphones for some products | Statement: [Navigo fare system, supportsMobileTicketing, yes, via NFC-enabled smartphones for some products]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMobileTicketing
Context triple: [Navigo fare system, supportsMobileTicketing, yes, via NFC-enabled smartphones for some products]
  • A. hasElectronicTicketing chosen
    Indicates that an entity supports or provides electronic ticketing for access, booking, or transactions.
  • B. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • C. ticketingCompatibleWith
    Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
  • D. ticketTypeAccepted
    Indicates that a particular type of ticket is valid for use or accepted in a given context or by a given entity.
  • E. hasTicketIntegration
    Indicates that there is an established connection enabling ticket-related data or actions to be shared or synchronized between systems or components.
  • 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_69f224e3238c8190b2291f50ea4962cd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e5174c8190a0bdde7e381b7624 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 9:16 p.m.