Triple

T2129197
Position Surface form Disambiguated ID Type / Status
Subject Visa E46497 entity
Predicate originalName P65 FINISHED
Object BankAmericard 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: BankAmericard | Statement: [Visa, originalName, BankAmericard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BankAmericard
Context triple: [Visa, originalName, BankAmericard]
  • 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. American Express
    American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
  • C. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • D. 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.
  • E. Citibank
    Citibank is a major global banking and financial services institution headquartered in the United States, known for its extensive international retail and corporate banking operations.
  • 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.