Triple

T10491287
Position Surface form Disambiguated ID Type / Status
Subject Les Bouchères E247423 entity
Predicate permittedWineColor P12088 FINISHED
Object white LITERAL 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: white | Statement: [Les Bouchères, permittedWineColor, white]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: permittedWineColor
Context triple: [Les Bouchères, permittedWineColor, white]
  • A. wineColorNotAllowed
    Indicates that a particular wine color is not permitted or is disallowed in the given context or relationship.
  • B. roséWineAllowed
    Indicates that the consumption or presence of rosé wine is permitted in the given context or under the specified conditions.
  • C. wineColor chosen
    Indicates the color attribute or hue associated with a given wine.
  • D. sparklingWineAllowed
    Indicates that the use, serving, or presence of sparkling wine is permitted in the given context or under specified conditions.
  • E. grapeVarietyAllowed
    Indicates that a specific grape variety is permitted or authorized for use in a given context, such as a wine, region, or product specification.
  • F. None of above.

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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097e1c888190bc8e039f2e46181e completed April 7, 2026, 1:41 p.m.
PD Predicate disambiguation batch_69d4fb8a30848190b33cf43f005a028e completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:24 p.m.