Triple

T18501242
Position Surface form Disambiguated ID Type / Status
Subject Tram line 8 (Bern) E452069 entity
Predicate hasPrimaryTicketingMethod P3383 FINISHED
Object public transport tickets and passes 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: public transport tickets and passes | Statement: [Tram line 8 (Bern), hasPrimaryTicketingMethod, public transport tickets and passes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryTicketingMethod
Context triple: [Tram line 8 (Bern), hasPrimaryTicketingMethod, public transport tickets and passes]
  • A. hasElectronicTicketing
    Indicates that an entity supports or provides electronic ticketing for access, booking, or transactions.
  • B. hasTicketIntegration
    Indicates that there is an established connection enabling ticket-related data or actions to be shared or synchronized between systems or components.
  • C. hasTicketing chosen
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • D. hasTicketingAuthority
    Indicates that an entity possesses the official power or permission to issue, manage, or control tickets for an event, service, or system.
  • E. hasTicketAccess
    Indicates that an entity is permitted to view, use, or manage a particular ticket or set of tickets.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69e469dbf5208190b6fc49e02a087f54 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:36 a.m.