Triple

T23924808
Position Surface form Disambiguated ID Type / Status
Subject HVV E602316 entity
Predicate offersDigitalTicketing P3383 FINISHED
Object yes 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 | Statement: [HVV, offersDigitalTicketing, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersDigitalTicketing
Context triple: [HVV, offersDigitalTicketing, yes]
  • A. ticketingContext
    Indicates the situational or operational context in which a ticket (such as a support, event, or issue ticket) is created, managed, or applied.
  • B. ticketingProduct
    Indicates a relationship where an entity is associated with, or offered as, a ticketing-related product (such as a service or item used 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. hasTicketing chosen
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • E. ticketFormat
    Indicates the specific structure, layout, or template in which a ticket is represented or issued.
  • 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_69e2953b928c819095395fa87baca583 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cf1bdf108190b3c04146af8c3b3c completed April 29, 2026, 9:27 a.m.
PD Predicate disambiguation batch_69f16151ebdc819086e9e1d7cc1f4f3c completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:42 p.m.