Triple

T6563736
Position Surface form Disambiguated ID Type / Status
Subject SK Energy E153848 entity
Predicate businessDivisionOf P14872 FINISHED
Object SK Innovation E153848 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: SK Innovation | Statement: [SK Energy, businessDivisionOf, SK Innovation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SK Innovation
Context triple: [SK Energy, businessDivisionOf, SK Innovation]
  • A. Hanwha Group
    Hanwha Group is a major South Korean conglomerate with diversified businesses spanning chemicals, energy, defense, finance, and construction.
  • B. SK Energy chosen
    SK Energy is a major South Korean petroleum and energy company and a core subsidiary of the SK Group conglomerate.
  • C. POSCO Holdings
    POSCO Holdings is a South Korean multinational steelmaking and materials conglomerate that serves as the holding company of the POSCO group, one of the world’s largest steel producers.
  • D. Hanwha Engineering & Construction
    Hanwha Engineering & Construction is a South Korean construction and engineering company known for undertaking large-scale international projects, including major stadiums and infrastructure developments.
  • E. LG Corporation
    LG Corporation is a major South Korean multinational conglomerate with diversified businesses spanning electronics, chemicals, and telecommunications.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3a40488190892d20ca0d60b937 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.