Triple

T6091598
Position Surface form Disambiguated ID Type / Status
Subject Stripe E135777 entity
Predicate product P490 FINISHED
Object Stripe Terminal 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 Terminal | Statement: [Stripe, product, Stripe Terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stripe Terminal
Context triple: [Stripe, product, Stripe Terminal]
  • 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. Ingenico
    Ingenico is a global provider of payment terminals and payment services, widely used by merchants for secure electronic transactions.
  • D. WePay
    WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
  • E. Chase Paymentech
    Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ab7324819086d4708e6f9391c0 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12531d764819083e1bb37d8c81a6c completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.