Triple

T14438071
Position Surface form Disambiguated ID Type / Status
Subject Futuroscope E358017 entity
Predicate hasAttractionType P8648 FINISHED
Object IMAX cinema E4058 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: IMAX cinema | Statement: [Futuroscope, hasAttractionType, IMAX cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IMAX cinema
Context triple: [Futuroscope, hasAttractionType, IMAX cinema]
  • A. IMAX chosen
    IMAX is a high-resolution large-format cinema technology known for its giant screens, immersive sound, and specialized cameras used for premium theatrical presentations.
  • B. Dolby Cinema
    Dolby Cinema is a premium movie theater experience that combines advanced Dolby Vision HDR projection and Dolby Atmos immersive sound to deliver high-contrast visuals and multidimensional audio.
  • C. BFI IMAX cinema
    BFI IMAX cinema is a large-format movie theater in London known for its giant IMAX screen and immersive film presentations, operated by the British Film Institute.
  • D. Nimax Theatres
    Nimax Theatres is a London-based theatre operating company that owns and manages several prominent West End venues.
  • E. 4DX auditoriums
    4DX auditoriums are immersive movie theater environments that enhance films with motion seats and sensory effects like wind, rain, and scents synchronized to the on-screen action.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd7f46881908df1a1cea7b6af9b completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.