Triple

T5613464
Position Surface form Disambiguated ID Type / Status
Subject Amtrak services at Chicago Union Station E147417 entity
Predicate ticketingMode P34227 FINISHED
Object advance reservations 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: advance reservations | Statement: [Amtrak services at Chicago Union Station, ticketingMode, advance reservations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketingMode
Context triple: [Amtrak services at Chicago Union Station, ticketingMode, advance reservations]
  • A. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • B. ticketingCompatibleWith
    Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
  • C. ticketPurchaseMethod chosen
    Indicates the method or channel through which a ticket was purchased (e.g., online, in person, via mobile app).
  • D. ticketingCode
    Indicates the specific fare or booking code associated with a ticket that defines its pricing, rules, and conditions of use.
  • E. 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).
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021226cf88190b70b4b51eb5b4144 completed March 22, 2026, 5:04 p.m.
PD Predicate disambiguation batch_69c01b1b3c98819080687d18ab10a914 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:39 p.m.