Triple

T21150674
Position Surface form Disambiguated ID Type / Status
Subject Savoie wine region E521178 entity
Predicate notableSubregion P9956 FINISHED
Object Apremont
Apremont is a renowned French white wine appellation in the Savoie region, known for its crisp, aromatic wines primarily made from the Jacquère grape on Alpine slopes.
 E1500648 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: Apremont | Statement: [Savoie wine region, notableSubregion, Apremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apremont
Context triple: [Savoie wine region, notableSubregion, Apremont]
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • E. Cazeneuve-Montaut
    Cazeneuve-Montaut is a small commune in the Haute-Garonne department in southwestern France.
  • 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: Apremont
Triple: [Savoie wine region, notableSubregion, Apremont]
Generated description
Apremont is a renowned French white wine appellation in the Savoie region, known for its crisp, aromatic wines primarily made from the Jacquère grape on Alpine slopes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Apremont
Target entity description: Apremont is a renowned French white wine appellation in the Savoie region, known for its crisp, aromatic wines primarily made from the Jacquère grape on Alpine slopes.
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • E. Cazeneuve-Montaut
    Cazeneuve-Montaut is a small commune in the Haute-Garonne department in southwestern France.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72401830c8190a2008c40c4174d97 completed April 21, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a365c0fbc819087ea53c5d44b6cf4 completed May 17, 2026, 9:42 p.m.
NEDg Description generation batch_6a0a376c3f88819085dcf4d2f49ea121 completed May 17, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0a37f8c09c8190a92f78909cfbc6e7 completed May 17, 2026, 9:49 p.m.
Created at: April 16, 2026, 2:58 p.m.