Triple

T4508788
Position Surface form Disambiguated ID Type / Status
Subject Auxerrois E101998 entity
Predicate alsoKnownAs P39 FINISHED
Object Côt Noir
Côt Noir is an alternative name for the white wine grape variety Auxerrois, primarily grown in France’s Alsace and neighboring regions.
 E448333 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: Côt Noir | Statement: [Auxerrois, alsoKnownAs, Côt Noir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Côt Noir
Context triple: [Auxerrois, alsoKnownAs, Côt Noir]
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. La Côte
    La Côte is a wine-producing region along the northern shore of Lake Geneva in the canton of Vaud, Switzerland, known for its picturesque vineyards and small towns.
  • C. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • D. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • E. Baïse
    Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
  • 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: Côt Noir
Triple: [Auxerrois, alsoKnownAs, Côt Noir]
Generated description
Côt Noir is an alternative name for the white wine grape variety Auxerrois, primarily grown in France’s Alsace and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Côt Noir
Target entity description: Côt Noir is an alternative name for the white wine grape variety Auxerrois, primarily grown in France’s Alsace and neighboring regions.
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. La Côte
    La Côte is a wine-producing region along the northern shore of Lake Geneva in the canton of Vaud, Switzerland, known for its picturesque vineyards and small towns.
  • C. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • D. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • E. Baïse
    Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570f9b1c8190b52ace855dbf6641 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f7c1bd08190bc7b7028a512a466 completed March 20, 2026, 5:10 p.m.
NEDg Description generation batch_69bd84bae7148190ae201ea5257dd43e completed March 20, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69bd857181e4819086b7d0b493fbb9a3 completed March 20, 2026, 5:35 p.m.
Created at: March 20, 2026, 1:01 p.m.