Triple

T8283726
Position Surface form Disambiguated ID Type / Status
Subject JCB Co., Ltd. E193741 entity
Predicate hasBrand P1500 FINISHED
Object JCB E583785 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: [JCB Co., Ltd., hasBrand, JCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JCB
Context triple: [JCB Co., Ltd., hasBrand, JCB]
  • A. JCB chosen
    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.
    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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad0535081908bb234cfc0e32b32 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd687e64a08190a45a1cf5f5c32291 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.