Triple

T14372341
Position Surface form Disambiguated ID Type / Status
Subject KOSPI E356386 entity
Predicate includes P1393 FINISHED
Object KB Financial Group E375834 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: KB Financial Group | Statement: [KOSPI, includes, KB Financial Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KB Financial Group
Context triple: [KOSPI, includes, KB Financial Group]
  • A. KB Financial Group chosen
    KB Financial Group is a major South Korean financial holding company that provides a wide range of banking and financial services through subsidiaries such as KB Kookmin Bank.
  • B. Shinhan Financial Group
    Shinhan Financial Group is one of South Korea’s largest financial holding companies, offering a wide range of banking, insurance, and investment services domestically and internationally.
  • C. SK Group
    SK Group is one of South Korea’s largest conglomerates, with diversified businesses spanning energy, telecommunications, semiconductors, and chemicals.
  • D. Hana Financial Group
    Hana Financial Group is a major South Korean financial holding company that operates a wide range of banking and financial services domestically and internationally.
  • E. Hanwha Group
    Hanwha Group is a major South Korean conglomerate with diversified businesses spanning chemicals, energy, defense, finance, and construction.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.