Triple

T8546621
Position Surface form Disambiguated ID Type / Status
Subject Gaumont cinemas E202342 entity
Predicate hasCustomerExperience P5308 FINISHED
Object in-theater film viewing LITERAL 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: in-theater film viewing | Statement: [Gaumont cinemas, hasCustomerExperience, in-theater film viewing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCustomerExperience
Context triple: [Gaumont cinemas, hasCustomerExperience, in-theater film viewing]
  • A. hasCustomers
    Indicates that an entity maintains a business relationship in which other entities purchase or receive its goods or services as customers.
  • B. hasTypeOfVisitorExperience chosen
    Indicates that an entity is associated with a particular category or kind of visitor experience it provides or involves.
  • C. hasCustomerServiceOperationsIn
    Indicates that an entity conducts customer service activities or maintains customer support functions within a specified location or region.
  • D. hasVirtualExperience
    Indicates that one entity possesses or has participated in a virtual or digitally simulated experience related to another entity.
  • E. hasCustomerServiceChannel
    Indicates that an entity provides or is associated with a specific channel or medium through which customer service interactions can occur.
  • F. None of above.

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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe7511f8c819083d69fb6a0b55801 completed March 31, 2026, 3:25 p.m.
PD Predicate disambiguation batch_69cbd113e05c81908f4f3fc1b5925164 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:19 p.m.