Triple

T1711630
Position Surface form Disambiguated ID Type / Status
Subject PCI Security Standards Council E37195 entity
Predicate foundedBy P104 FINISHED
Object Mastercard E47018 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: Mastercard | Statement: [PCI Security Standards Council, foundedBy, Mastercard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mastercard
Context triple: [PCI Security Standards Council, foundedBy, Mastercard]
  • A. Mastercard chosen
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • B. Visa
    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.
  • C. American Express
    American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
  • D. Chase Paymentech
    Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6315afdc81908409435bb47e8ee0 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d1882c81908e02e36ab28e7fdc completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.