Triple

T6091596
Position Surface form Disambiguated ID Type / Status
Subject Stripe E135777 entity
Predicate product P490 FINISHED
Object Stripe Issuing 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 Issuing | Statement: [Stripe, product, Stripe Issuing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stripe Issuing
Context triple: [Stripe, product, Stripe Issuing]
  • A. Stripe chosen
    Stripe is a leading financial technology company that provides online payment processing and related services for internet businesses worldwide.
  • B. Creditex
    Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
  • C. Apple Card
    Apple Card is a digital-first credit card created by Apple and issued by Goldman Sachs, designed for use with Apple Pay and the Apple Wallet app, offering daily cash-back rewards and strong privacy features.
  • D. Credit Card Center
    Credit Card Center is the specialized unit of China Merchants Bank responsible for issuing and managing the bank’s credit card products and related services.
  • E. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • 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.