Triple

T12671049
Position Surface form Disambiguated ID Type / Status
Subject Suzanne E302682 entity
Predicate associatedWithLocation P2830 FINISHED
Object Lapin Agile bar E302679 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: Lapin Agile bar | Statement: [Suzanne, associatedWithLocation, Lapin Agile bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapin Agile bar
Context triple: [Suzanne, associatedWithLocation, Lapin Agile bar]
  • A. Lapin Agile bar chosen
    The Lapin Agile bar is a historic Montmartre cabaret in Paris, long associated with artists and writers and famously featured as the setting of Steve Martin’s play "Picasso at the Lapin Agile."
  • B. Lapin Agile cabaret
    Lapin Agile cabaret is a historic Montmartre nightclub in Paris famed as a bohemian gathering place for artists, writers, and musicians since the late 19th century.
  • C. Lapinig
    Lapinig is a coastal municipality in the province of Northern Samar in the Philippines.
  • D. Lopik
    Lopik is a rural municipality and town in the central Netherlands, known for its agricultural landscape and location along the river Lek.
  • E. Lakki
    Lakki is a coastal town and main port on the Greek island of Leros in the Dodecanese.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6689019988190ae3a3a52be45c83a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.