Triple

T12226137
Position Surface form Disambiguated ID Type / Status
Subject Damier canvas E291356 entity
Predicate hasVariant P455 FINISHED
Object Damier Ebene E291356 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: Damier Ebene | Statement: [Damier canvas, hasVariant, Damier Ebene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damier Ebene
Context triple: [Damier canvas, hasVariant, Damier Ebene]
  • A. Conté
    Conté is a French surname most notably associated with Nicolas-Jacques Conté, the 18th-century inventor of the modern graphite pencil and a prominent painter and balloonist.
  • B. Damier canvas chosen
    Damier canvas is Louis Vuitton’s iconic checkerboard-patterned coated canvas used across many of its luxury bags and accessories.
  • C. Carbon-Blanc
    Carbon-Blanc is a suburban commune in southwestern France located near the city of Bordeaux.
  • D. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • E. Liniers
    Liniers is a neighborhood in western Buenos Aires, Argentina, known as a busy commercial and transportation hub centered around its train station and markets.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.