Triple

T24933768
Position Surface form Disambiguated ID Type / Status
Subject Metcard E623257 entity
Predicate ticketTypesIncluded P115850 FINISHED
Object 2-hour tickets 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: 2-hour tickets | Statement: [Metcard, ticketTypesIncluded, 2-hour tickets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketTypesIncluded
Context triple: [Metcard, ticketTypesIncluded, 2-hour tickets]
  • A. ticketIncludes
    Indicates that a particular ticket grants access to, contains, or covers the specified item, service, or component.
  • B. ticketTypeAccepted chosen
    Indicates that a particular type of ticket is valid for use or accepted in a given context or by a given entity.
  • C. ticketTypeExample
    Indicates that an entity serves as an example or illustrative instance of a particular ticket type.
  • D. ticketFormat
    Indicates the specific structure, layout, or template in which a ticket is represented or issued.
  • E. ticketingCompatibleWith
    Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
  • 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_69e2fac6b5a48190a1c38857f00915a9 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f48b9b687881908fd87a2f5fa0b1e7 completed May 1, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f48060597c8190a4414e4e4fcb1fec completed May 1, 2026, 10:28 a.m.
Created at: April 18, 2026, 5:30 a.m.