Triple

T32072861
Position Surface form Disambiguated ID Type / Status
Subject VRR E819061 entity
Predicate coordinatesTicketing P178846 FINISHED
Object integrated ticketing system 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: integrated ticketing system | Statement: [VRR, coordinatesTicketing, integrated ticketing system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coordinatesTicketing
Context triple: [VRR, coordinatesTicketing, integrated ticketing system]
  • A. ticketingForm
    Indicates a relationship where a ticket is associated with a specific form used to capture or manage its details.
  • B. ticketedBy
    Indicates that an entity has been issued or assigned a ticket by another entity (such as an authority, system, or agent).
  • C. ticketingContext
    Indicates the situational or operational context in which a ticket (such as a support, event, or issue ticket) is created, managed, or applied.
  • D. ticketingIssue
    Indicates that there is a problem, error, or complication related to a ticketing process or ticket-based system.
  • E. ticketingFor
    Indicates that one entity is responsible for issuing, managing, or providing tickets for another entity, such as an event, service, or venue.
  • F. None of above. chosen

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_69f348fecc088190af1470afe5a969f0 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f71422adac8190a5ceb32dcf820833 completed May 3, 2026, 9:23 a.m.
PD Predicate disambiguation batch_69f712764d2c819081b64b27e5de4a13 completed May 3, 2026, 9:16 a.m.
PDg Predicate description generation batch_69f71421e8d08190807ccfb15d0f0ddb completed May 3, 2026, 9:23 a.m.
Created at: May 1, 2026, 12:23 a.m.