Triple

T22454826
Position Surface form Disambiguated ID Type / Status
Subject Trans Studio theme park chain E555087 entity
Predicate operator P179 FINISHED
Object Trans 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: Trans Corp | Statement: [Trans Studio theme park chain, operator, Trans Corp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trans Corp
Context triple: [Trans Studio theme park chain, operator, Trans Corp]
  • A. Trans Corp chosen
    Trans Corp is a subsidiary company within the Indonesian conglomerate CT Corp, operating as part of its diversified business portfolio.
  • B. Taylor Corporation
    Taylor Corporation is a large privately held American printing and marketing communications company founded and owned by businessman Glen Taylor.
  • C. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • D. Tracinda Corporation
    Tracinda Corporation is a private investment company that served as billionaire Kirk Kerkorian’s primary vehicle for major stakes in industries such as casinos, airlines, and automotive firms.
  • E. Science Corp
    Science Corp is a biotechnology company focused on developing advanced neurotechnology and brain–computer interface solutions.
  • 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.