Triple

T17528692
Position Surface form Disambiguated ID Type / Status
Subject Touchwood shopping centre E426870 entity
Predicate hasAnchorTenant P11754 FINISHED
Object Cineworld 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: Cineworld | Statement: [Touchwood shopping centre, hasAnchorTenant, Cineworld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cineworld
Context triple: [Touchwood shopping centre, hasAnchorTenant, Cineworld]
  • A. Cineworld cinema
    Cineworld cinema is a major UK multiplex cinema chain offering mainstream film screenings and entertainment facilities.
  • B. Cineworld Group chosen
    Cineworld Group is a British-based multinational cinema chain operator that became one of the world’s largest theater companies following its acquisition of Regal Entertainment Group.
  • C. Odeon Cinemas
    Odeon Cinemas is a major British and European cinema chain known for operating numerous multiplex movie theaters across the UK and beyond.
  • D. Cineplex Cinemas
    Cineplex Cinemas is a major Canadian movie theatre chain offering multiplex cinema experiences with multiple screens, concessions, and modern film presentation technologies.
  • E. Cinemark Theatres
    Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d81a808190ab38831ea5b73b74 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.