Triple

T35104670
Position Surface form Disambiguated ID Type / Status
Subject XSH E1013115 entity
Predicate ticketingFunction P182527 FINISHED
Object through-ticketing between air and rail 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: through-ticketing between air and rail | Statement: [XSH, ticketingFunction, through-ticketing between air and rail]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketingFunction
Context triple: [XSH, ticketingFunction, through-ticketing between air and rail]
  • 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. ticketingFor
    Indicates that one entity is responsible for issuing, managing, or providing tickets for another entity, such as an event, service, or venue.
  • C. ticketPlatform
    Indicates a relationship where an entity serves as the platform or service through which tickets are offered, managed, or sold for another entity or event.
  • D. ticketingForm
    Indicates a relationship where a ticket is associated with a specific form used to capture or manage its details.
  • E. ticketReservation
    Indicates the act of securing one or more tickets in advance for a specific event, service, or journey.
  • 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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78dbf72648190a4971a558e9d1889 completed May 3, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69f78b8f4cc08190b49fccd798cb25d7 completed May 3, 2026, 5:53 p.m.
PDg Predicate description generation batch_69f78ce43094819093857fc99f269afe completed May 3, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:01 p.m.