Triple

T16214286
Position Surface form Disambiguated ID Type / Status
Subject Commercy E393544 entity
Predicate hasCulinarySpecialty P17589 FINISHED
Object Madeleines de Commercy E393547 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: Madeleines de Commercy | Statement: [Commercy, hasCulinarySpecialty, Madeleines de Commercy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeleines de Commercy
Context triple: [Commercy, hasCulinarySpecialty, Madeleines de Commercy]
  • A. madeleines de Commercy chosen
    Madeleines de Commercy are small, shell-shaped French sponge cakes from the town of Commercy, renowned as a classic regional pastry and literary icon.
  • B. La Madeleine
    La Madeleine is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • C. La Grande Galette
    La Grande Galette is the affectionate nickname of the Caribbean island of Marie-Galante, known for its round shape, sugarcane fields, and traditional rum production.
  • D. Boulange
    Boulange is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
  • E. La Pâtisserie
    La Pâtisserie is a genre painting by French artist Jean Béraud that vividly captures Parisian bourgeois life inside a pastry shop during the late 19th century.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f393e08190be93400d754f0a2d completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000794e6c881909c4521e4dd031971 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.