Triple

T13154261
Position Surface form Disambiguated ID Type / Status
Subject Jura region E312542 entity
Predicate hasWineStyle P2082 FINISHED
Object Vin Jaune
Vin Jaune is a distinctive French white wine from the Jura, known for its oxidative aging under a veil of yeast that gives it nutty, sherry-like aromas and remarkable longevity.
 E1024001 NE FINISHED

How this triple was built (4 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: Vin Jaune | Statement: [Jura region, hasWineStyle, Vin Jaune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vin Jaune
Context triple: [Jura region, hasWineStyle, Vin Jaune]
  • A. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • B. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • C. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • D. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • E. Rodolphe
    Rodolphe is a masculine given name of French origin, historically borne by several notable European artists, writers, and public figures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vin Jaune
Triple: [Jura region, hasWineStyle, Vin Jaune]
Generated description
Vin Jaune is a distinctive French white wine from the Jura, known for its oxidative aging under a veil of yeast that gives it nutty, sherry-like aromas and remarkable longevity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vin Jaune
Target entity description: Vin Jaune is a distinctive French white wine from the Jura, known for its oxidative aging under a veil of yeast that gives it nutty, sherry-like aromas and remarkable longevity.
  • A. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • B. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • C. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • D. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • E. Rodolphe
    Rodolphe is a masculine given name of French origin, historically borne by several notable European artists, writers, and public figures.
  • F. None of above. chosen

Provenance (5 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaee8aa0819089994b85d56c7740 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6ef102fb08190b8a9646e5b45155c completed May 3, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69f6ef933f888190880e680f7f4c1c29 completed May 3, 2026, 6:47 a.m.
Created at: April 9, 2026, 9:11 p.m.