Triple

T22084441
Position Surface form Disambiguated ID Type / Status
Subject London River Services E545735 entity
Predicate usesFareMedia P9955 FINISHED
Object contactless payment cards 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 payment cards | Statement: [London River Services, usesFareMedia, contactless payment cards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFareMedia
Context triple: [London River Services, usesFareMedia, contactless payment cards]
  • A. usesFareMedium chosen
    Indicates that an entity employs a particular fare medium (such as a ticket, card, or pass) as the method of payment or validation for a trip or service.
  • B. fareSystemUse
    Indicates the use or application of a particular fare system for travel, ticketing, or pricing.
  • C. fareSystemFeature
    Indicates that a fare system possesses or supports a particular feature, function, or characteristic related to how fares are calculated, managed, or used.
  • D. fareSystem
    Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
  • E. isWithinFareSystem
    Indicates that one transportation service, route, or area operates under and is covered by a specified fare or ticketing system.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b95e908190bd846f531eb59b50 completed April 28, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69e71b20ec50819096ac196c798f8e3c completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:29 p.m.