Triple

T13086431
Position Surface form Disambiguated ID Type / Status
Subject Eden Shopping Centre E310347 entity
Predicate hasTenant P3277 FINISHED
Object Cineworld E53486 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: Cineworld | Statement: [Eden Shopping Centre, hasTenant, Cineworld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cineworld
Context triple: [Eden Shopping Centre, hasTenant, 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 (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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a227d2c81908da0089d0e0387c6 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:02 p.m.