Triple

T26322938
Position Surface form Disambiguated ID Type / Status
Subject New York City Subway at Woodside–61st Street E662164 entity
Predicate ticketingSeparation P164204 FINISHED
Object subway and LIRR require separate fares 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: subway and LIRR require separate fares | Statement: [New York City Subway at Woodside–61st Street, ticketingSeparation, subway and LIRR require separate fares]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketingSeparation
Context triple: [New York City Subway at Woodside–61st Street, ticketingSeparation, subway and LIRR require separate fares]
  • A. ticketingScope
    Indicates the range or domain within which ticketing actions (such as creation, assignment, or management of tickets) are valid or applicable.
  • B. ticketingContext
    Indicates the situational or operational context in which a ticket (such as a support, event, or issue ticket) is created, managed, or applied.
  • C. ticketingCategory
    Indicates the classification or type assigned to a ticket within a ticketing or issue-tracking system.
  • D. ticketingResponsibility
    Indicates responsibility for issuing, managing, or handling tickets within a given context or system.
  • E. ticketingPlan
    Indicates the specific ticketing arrangement, policy, or scheme that governs how tickets are issued, priced, or managed for an event or service.
  • 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_69ee812e73048190aae587f1d51e5a06 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f643c204508190a43fe0ec5165b01c completed May 2, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69f641da05b881909f6283c988639c53 completed May 2, 2026, 6:26 p.m.
PDg Predicate description generation batch_69f6430975b481909191219ad13ef77e completed May 2, 2026, 6:31 p.m.
Created at: April 26, 2026, 10:29 p.m.