Triple

T390924
Position Surface form Disambiguated ID Type / Status
Subject Côte de Beaune E8877 entity
Predicate hasVillage P4011 FINISHED
Object Monthélie
Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
 E59846 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: Monthélie | Statement: [Côte de Beaune, hasVillage, Monthélie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monthélie
Context triple: [Côte de Beaune, hasVillage, Monthélie]
  • A. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • B. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • C. Modane
    Modane is a French Alpine town in the Savoie department known as a key transit point through the Fréjus Road and Rail Tunnels between France and Italy.
  • D. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • E. Moulins
    Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
  • 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: Monthélie
Triple: [Côte de Beaune, hasVillage, Monthélie]
Generated description
Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monthélie
Target entity description: Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
  • A. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • B. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • C. Modane
    Modane is a French Alpine town in the Savoie department known as a key transit point through the Fréjus Road and Rail Tunnels between France and Italy.
  • D. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • E. Moulins
    Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5d73e881909101308a583c8f13 completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a46c58de0881908c09850b6ceac8c6 completed March 1, 2026, 4:42 p.m.
NEDg Description generation batch_69a46cc070f48190a58b65b67efa25de completed March 1, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_69a46d2002d8819086691b73f8fbaae2 completed March 1, 2026, 4:45 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.