Triple

T22454821
Position Surface form Disambiguated ID Type / Status
Subject Trans Studio theme park chain E555087 entity
Predicate owner P347 FINISHED
Object CT Corp 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 | Statement: [Trans Studio theme park chain, owner, CT Corp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CT Corp
Context triple: [Trans Studio theme park chain, owner, CT Corp]
  • 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. Trans Corp
    Trans Corp is a subsidiary company within the Indonesian conglomerate CT Corp, operating as part of its diversified business portfolio.
  • D. Taylor Corporation
    Taylor Corporation is a large privately held American printing and marketing communications company founded and owned by businessman Glen Taylor.
  • E. CELL Corporation
    CELL Corporation is a powerful and antagonistic private military and energy conglomerate in the Crysis video game series, known for exploiting alien technology and oppressing civilians for profit and control.
  • 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.