Triple

T16388261
Position Surface form Disambiguated ID Type / Status
Subject Armagnac region E397980 entity
Predicate primaryGrapeVariety P975 FINISHED
Object Folle Blanche E752252 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: Folle Blanche | Statement: [Armagnac region, primaryGrapeVariety, Folle Blanche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Folle Blanche
Context triple: [Armagnac region, primaryGrapeVariety, Folle Blanche]
  • A. Folle Blanche chosen
    Folle Blanche is a traditional French white grape variety historically prized in Armagnac and Cognac production for its high acidity and delicate, floral spirits.
  • B. La Blancarde
    La Blancarde is a neighborhood and transport hub in Marseille, France, known for its railway and metro station connecting the city’s eastern districts.
  • C. Désir
    Désir is a French surname borne by various notable individuals, including politicians and public figures.
  • D. Les Violets
    Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
  • E. Les Fleurs
    Les Fleurs is a section of Charles Baudelaire’s poetry collection "Les Fleurs du mal," known for its evocative and symbolist exploration of beauty, decadence, and modern urban life.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263f18988190800b921381d60c1b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356ed47c819085aaf101459dd55c completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.