Triple

T2129212
Position Surface form Disambiguated ID Type / Status
Subject Visa E46497 entity
Predicate product P490 FINISHED
Object Visa Secure E192647 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 Secure | Statement: [Visa, product, Visa Secure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visa Secure
Context triple: [Visa, product, Visa Secure]
  • A. 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.
  • B. PCI 3-D Secure Core Security Standard chosen
    The PCI 3-D Secure Core Security Standard is a payment security specification that defines technical and security requirements for implementing 3-D Secure authentication in card-not-present transactions.
  • C. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • D. PCI Security Standards Council
    The PCI Security Standards Council is a global forum that develops and manages security standards for payment card data protection, including the PCI Data Security Standard (PCI DSS).
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb7659f48190871cb27faf47e18a completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a36398819081df18cc18bc3456 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.