Triple

T343621
Position Surface form Disambiguated ID Type / Status
Subject Burgundy E6890 entity
Predicate grapeVariety P975 FINISHED
Object Aligoté
Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
 E43409 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: Aligoté | Statement: [Burgundy, grapeVariety, Aligoté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aligoté
Context triple: [Burgundy, grapeVariety, Aligoté]
  • A. Chablis
    Chablis is a renowned wine region in northern Burgundy, France, famous for its crisp, mineral-driven white wines made exclusively from Chardonnay grapes.
  • B. Anjou
    Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
  • C. Burgundy
    Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
  • D. Pomerol
    Pomerol is a prestigious wine-producing appellation in Bordeaux, France, renowned for its rich, Merlot-dominant red wines.
  • E. Dardagny
    Dardagny is a rural Swiss municipality known for its vineyards and scenic landscapes in the western part of the canton of Geneva.
  • 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: Aligoté
Triple: [Burgundy, grapeVariety, Aligoté]
Generated description
Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aligoté
Target entity description: Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
  • A. Chablis
    Chablis is a renowned wine region in northern Burgundy, France, famous for its crisp, mineral-driven white wines made exclusively from Chardonnay grapes.
  • B. Anjou
    Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
  • C. Burgundy
    Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
  • D. Pomerol
    Pomerol is a prestigious wine-producing appellation in Bordeaux, France, renowned for its rich, Merlot-dominant red wines.
  • E. Dardagny
    Dardagny is a rural Swiss municipality known for its vineyards and scenic landscapes in the western part of the canton of Geneva.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ee043fac8190af72291c04761687 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4ea324c8190acd07727ca0ac193 completed March 1, 2026, 5:55 a.m.
NEDg Description generation batch_69a3d593afbc8190b7148201f890ac77 completed March 1, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69a3d659a1308190bad45dc2af33b3f3 completed March 1, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.