Triple

T10866812
Position Surface form Disambiguated ID Type / Status
Subject GOV.UK Pay E256550 entity
Predicate integratesWith P1075 FINISHED
Object Stripe E135777 NE 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: Stripe | Statement: [GOV.UK Pay, integratesWith, Stripe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stripe
Context triple: [GOV.UK Pay, integratesWith, Stripe]
  • A. Stripe chosen
    Stripe is a leading financial technology company that provides online payment processing and related services for internet businesses worldwide.
  • B. Braintree Direct
    Braintree Direct is an online payment processing solution that enables businesses to securely accept and manage credit cards, digital wallets, and other payment methods through web and mobile applications.
  • C. Adyen
    Adyen is a global payment processing company that provides an end-to-end platform for accepting online, mobile, and in-store payments for businesses.
  • D. WePay
    WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
  • E. Masterpass
    Masterpass is a digital wallet and online payment service developed by Mastercard that enables consumers to store payment information and make secure, streamlined purchases across websites and mobile apps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7516e15448190aefdba1aa635baea completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d7b32081909dd5f8ae3fe293be completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.