Triple

T2424191
Position Surface form Disambiguated ID Type / Status
Subject Cineworld Group E53486 entity
Predicate ownsSubsidiary P9212 FINISHED
Object Cinema City International E269441 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: Cinema City International | Statement: [Cineworld Group, ownsSubsidiary, Cinema City International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinema City International
Context triple: [Cineworld Group, ownsSubsidiary, Cinema City International]
  • A. Cinema City chosen
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • B. Ikspiari Cinema Complex
    Ikspiari Cinema Complex is a multi-screen movie theater located within the Ikspiari shopping and entertainment district at Tokyo Disney Resort in Japan.
  • C. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • D. Arclight Cinemas
    Arclight Cinemas was a premium movie theater chain based in Los Angeles, known for its upscale amenities, reserved seating, and operation of the iconic Cinerama Dome.
  • E. Odeon Cinemas
    Odeon Cinemas is a major British and European cinema chain known for operating numerous multiplex movie theaters across the UK and beyond.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc973aee08190b543492f436f3fe5 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f7f0738819091d06a7279f45d61 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:42 p.m.