Triple

T19559759
Position Surface form Disambiguated ID Type / Status
Subject Vieux-Nice E489413 entity
Predicate contains P35 FINISHED
Object Opéra de Nice 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: Opéra de Nice | Statement: [Vieux-Nice, contains, Opéra de Nice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opéra de Nice
Context triple: [Vieux-Nice, contains, Opéra de Nice]
  • A. Opéra de Nice chosen
    Opéra de Nice is a historic opera house in Nice, France, known for its classical architecture and performances of opera, ballet, and classical music.
  • B. Opéra de Monte-Carlo
    Opéra de Monte-Carlo is a historic opera house in Monaco renowned for its ornate Belle Époque architecture and prestigious performances.
  • C. Toulon Opera
    Toulon Opera is a historic French opera house and cultural venue renowned for its grand 19th-century architecture and performances in the city of Toulon.
  • D. Opéra National de Lyon
    Opéra National de Lyon is a major French opera house and cultural institution in Lyon, renowned for its innovative productions and distinctive blend of historic and modern architecture.
  • E. Théâtre de l’Opéra
    Théâtre de l’Opéra is a renowned Parisian opera house celebrated for its grand architecture and central role in France’s operatic and cultural history.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f731ae48190ade295c15db7f8ed completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.