Triple

T10070752
Position Surface form Disambiguated ID Type / Status
Subject Purchase, New York E213616 entity
Predicate hasCorporateHeadquarters P10544 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: [Purchase, New York, hasCorporateHeadquarters, Mastercard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mastercard
Context triple: [Purchase, New York, hasCorporateHeadquarters, 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. 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. VISA
    VISA is the commonly used acronym for the Voluntary Intermodal Sealift Agreement, a U.S. program that coordinates commercial shipping resources to support military sealift needs during national emergencies.
  • E. American Express
    American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcffa045c8190a08db0bb74cb006a completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317367204819097d3ed6a72a0f8b5 completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:59 p.m.