Triple

T10857908
Position Surface form Disambiguated ID Type / Status
Subject London public transport network E256316 entity
Predicate contactlessPaymentIntroduced P15672 FINISHED
Object 2014 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: 2014 | Statement: [London public transport network, contactlessPaymentIntroduced, 2014]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contactlessPaymentIntroduced
Context triple: [London public transport network, contactlessPaymentIntroduced, 2014]
  • A. supportsTapToPay chosen
    Indicates that an entity enables or is compatible with tap-to-pay (contactless) payment functionality.
  • B. hasDigitalWallet
    Indicates that an entity possesses or is associated with a digital wallet for storing and managing digital payment instruments or assets.
  • C. hasNFC
    Indicates that one entity possesses or supports Near Field Communication (NFC) capability in relation to another entity or context.
  • D. cardAcceptance
    Indicates that one party accepts or recognizes another party’s card as a valid form of payment or identification.
  • E. compatibleICCardBrand
    Indicates that one entity (such as a device or system) supports and can properly operate with IC cards of the specified brand.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751377da88190a7244bb9d6b0c2ec completed April 9, 2026, 7:11 a.m.
PD Predicate disambiguation batch_69d70d308dfc81908792f98cfb871392 completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:20 p.m.