Triple

T16739992
Position Surface form Disambiguated ID Type / Status
Subject Hyundai Motor Group E406809 entity
Predicate parentOrganizationOf P254 FINISHED
Object Hyundai Card E1230814 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: Hyundai Card | Statement: [Hyundai Motor Group, parentOrganizationOf, Hyundai Card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai Card
Context triple: [Hyundai Motor Group, parentOrganizationOf, Hyundai Card]
  • A. Hyundai Card chosen
    Hyundai Card is a South Korean credit card and financial services company affiliated with the Hyundai Motor Group, known for its innovative card products and lifestyle-focused benefits.
  • B. Shinhan Card
    Shinhan Card is a major South Korean credit card and financial services company known for offering a wide range of payment and consumer finance products.
  • C. Hyundai Capital
    Hyundai Capital is a South Korean financial services company specializing in auto financing, leasing, and consumer credit, closely affiliated with the Hyundai and Kia automotive brands.
  • D. Samsung Card
    Samsung Card is a South Korean financial services company specializing in credit card and related payment solutions as part of the Samsung conglomerate.
  • E. Metcard
    Metcard was Melbourne’s former magnetic stripe ticketing system used for public transport before the introduction of the Myki smartcard.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3d4fa48190b0db8f10a39d3ad8 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaf1853c819084d636afe8f3cb2e completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:20 a.m.