Triple

T11393469
Position Surface form Disambiguated ID Type / Status
Subject Pigalle E269904 entity
Predicate partOf P40 FINISHED
Object Montmartre area E55139 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: Montmartre area | Statement: [Pigalle, partOf, Montmartre area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montmartre area
Context triple: [Pigalle, partOf, Montmartre area]
  • A. Montmartre – Abbesses area
    The Montmartre – Abbesses area is a picturesque Parisian neighborhood on the Butte Montmartre, known for its steep streets, artistic heritage, and village-like atmosphere around Place des Abbesses.
  • B. Montmartre chosen
    Montmartre is a historic hilltop district in Paris known for its artistic heritage, bohemian atmosphere, and panoramic views over the city.
  • C. Gay Village
    Gay Village is a vibrant district in Manchester known for its LGBTQ+ nightlife, bars, clubs, and community events centered around Canal Street.
  • D. Paris Rive Gauche district
    The Paris Rive Gauche district is a major urban redevelopment area on the Left Bank of the Seine, known for its modern architecture, cultural institutions, and university campuses.
  • E. Latin Quarter
    The Latin Quarter is a historic Parisian neighborhood famed for its universities, student life, and lively cafés and bookshops.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001796f48190822526f52e3f0337 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d33ad50c8190982b00aab09098a1 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.