Triple

T21608313
Position Surface form Disambiguated ID Type / Status
Subject Montmartre Cubists E533234 entity
Predicate basedIn P40 FINISHED
Object Bateau-Lavoir 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: Bateau-Lavoir | Statement: [Montmartre Cubists, basedIn, Bateau-Lavoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bateau-Lavoir
Context triple: [Montmartre Cubists, basedIn, Bateau-Lavoir]
  • A. Bateau-Lavoir chosen
    Bateau-Lavoir was a famous early-20th-century artists’ residence and studio complex in Paris’s Montmartre district, known as a hub for avant-garde painters, writers, and bohemians.
  • B. Montmartre
    Montmartre is a historic hilltop district in Paris known for its artistic heritage, bohemian atmosphere, and panoramic views over the city.
  • C. Bassin de la Villette
    Bassin de la Villette is a large artificial basin in northeastern Paris that serves as both a historic waterway and a popular recreational area with quays, cinemas, and seasonal activities.
  • D. Tête d’Or
    Tête d’Or is a symbolist drama by French writer Paul Claudel that explores themes of ambition, faith, and existential struggle.
  • E. Goutte d'Or
    Goutte d'Or is a vibrant, historically working-class neighborhood in Paris known for its diverse immigrant communities, bustling markets, and rich North and West African cultural influences.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e7005c81908cfa86358b8dbef1 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.