Triple

T4351887
Position Surface form Disambiguated ID Type / Status
Subject Nol Red Ticket E98044 entity
Predicate paymentTechnology P31972 FINISHED
Object contactless smart ticketing 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: contactless smart ticketing | Statement: [Nol Red Ticket, paymentTechnology, contactless smart ticketing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: paymentTechnology
Context triple: [Nol Red Ticket, paymentTechnology, contactless smart ticketing]
  • A. paymentSystem
    Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
  • B. paymentMethod
    Indicates the means or instrument through which a payment is made in a transaction.
  • C. paymentEnvironment
    Indicates the context or setting in which a payment is initiated, processed, or completed (such as online, in-store, or in-app).
  • D. paySystem
    Indicates that one entity provides monetary or other compensation to another entity through a particular method, platform, or mechanism.
  • E. paymentFormFactor chosen
    Indicates the specific method or medium through which a payment is made or presented (e.g., card, mobile wallet, cash).
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351ab03488190a8900de98fb4a00e completed March 12, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69b34f51ed7c8190b7bf5f44b56b730d completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:15 p.m.