Triple

T22454735
Position Surface form Disambiguated ID Type / Status
Subject Studio Central E555084 entity
Predicate ownedBy P347 FINISHED
Object CT Corp (Trans Corp group) NE NERFINISHED

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: CT Corp (Trans Corp group) | Statement: [Studio Central, ownedBy, CT Corp (Trans Corp group)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CT Corp (Trans Corp group)
Context triple: [Studio Central, ownedBy, CT Corp (Trans Corp group)]
  • A. CT Corp chosen
    CT Corp is a major Indonesian conglomerate with diversified interests spanning media, retail, financial services, and property development.
  • B. KT Corporation
    KT Corporation is one of South Korea’s largest telecommunications companies, providing mobile, internet, and media services nationwide.
  • C. SK Group
    SK Group is one of South Korea’s largest conglomerates, with diversified businesses spanning energy, telecommunications, semiconductors, and chemicals.
  • D. Hanwha Group
    Hanwha Group is a major South Korean conglomerate with diversified businesses spanning chemicals, energy, defense, finance, and construction.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4e2bd4819083e5bed44e9776c6 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.