Triple

T7933364
Position Surface form Disambiguated ID Type / Status
Subject PCI DSS E184232 entity
Predicate cardBrandsInvolved P79853 FINISHED
Object JCB E193741 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: JCB | Statement: [PCI DSS, cardBrandsInvolved, JCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JCB
Context triple: [PCI DSS, cardBrandsInvolved, JCB]
  • A. JCB
    JCB is a major British multinational manufacturer of construction, agricultural, and industrial equipment, best known for its yellow diggers and backhoe loaders.
  • B. JCB Co., Ltd. chosen
    JCB Co., Ltd. is a major Japanese credit card company and payment brand that helped establish global security standards for the payment card industry.
  • C. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • 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. 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.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3acfd2a88190b1a13cd6fdedc272 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c041e588190bfbf251ed88d5bcd completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.