Triple

T2779148
Position Surface form Disambiguated ID Type / Status
Subject Chase Paymentech E61649 entity
Predicate supportsPaymentMethod P203 FINISHED
Object Visa E46497 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: Visa | Statement: [Chase Paymentech, supportsPaymentMethod, Visa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visa
Context triple: [Chase Paymentech, supportsPaymentMethod, Visa]
  • A. Visa chosen
    Visa is a global financial services corporation best known for operating one of the world’s largest electronic payment networks for credit, debit, and prepaid cards.
  • B. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • C. Discover Card
    Discover Card is a major U.S. credit card brand known for its cash-back rewards, no annual fees on many cards, and widespread acceptance.
  • D. American Express
    American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
  • E. Barclaycard
    Barclaycard is a major British credit card and payment services brand owned by Barclays, known for its widespread consumer and business financial products and past high-profile sports sponsorships.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd97e9988190a9065a70b878a675 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05cf84881908e771471dbda4c8d completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.