Triple

T10608229
Position Surface form Disambiguated ID Type / Status
Subject EuropaCorp E275931 entity
Predicate basedIn P40 FINISHED
Object Cité du Cinéma E388185 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: Cité du Cinéma | Statement: [EuropaCorp, basedIn, Cité du Cinéma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cité du Cinéma
Context triple: [EuropaCorp, basedIn, Cité du Cinéma]
  • A. Cité du Cinéma chosen
    Cité du Cinéma is a major film studio complex in Saint-Denis, near Paris, founded by director Luc Besson and used for large-scale international film productions.
  • B. Palais du Cinéma
    Palais du Cinéma is a film-themed venue in the France Pavilion at EPCOT, known for hosting cinematic attractions such as the Beauty and the Beast Sing-Along.
  • C. Parc Film
    Parc Film is a French film distribution company known for handling releases of notable French cinema such as "The Umbrellas of Cherbourg."
  • D. Jean Cocteau Museum
    The Jean Cocteau Museum is a cultural institution in Menton, France, dedicated to the life and work of the French artist, writer, and filmmaker Jean Cocteau.
  • E. Cité du Multimédia
    Cité du Multimédia is a technology and business district in Montreal, Canada, known for its concentration of multimedia, IT, and creative industry companies.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4c38c881908f69bb757b8e03f5 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eb726bc8190a8db7357bd126016 completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:32 p.m.