Triple

T7214856
Position Surface form Disambiguated ID Type / Status
Subject De Lijn bus lines E149505 entity
Predicate acceptsTicket P74693 FINISHED
Object Lijnkaart 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: Lijnkaart | Statement: [De Lijn bus lines, acceptsTicket, Lijnkaart]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acceptsTicket
Context triple: [De Lijn bus lines, acceptsTicket, Lijnkaart]
  • A. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • B. ticketingCompatibleWith
    Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
  • C. ticketAcceptanceArea chosen
    Indicates the geographic or operational area within which a given ticket is valid for use or accepted as proof of payment.
  • D. hasTicketIntegration
    Indicates that there is an established connection enabling ticket-related data or actions to be shared or synchronized between systems or components.
  • E. acceptedIn
    Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98ebe1c81909891b4a1c2c3a4aa completed March 27, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69c6e75f84e481909e7866186ae80cff completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:53 p.m.