Triple

T2380722
Position Surface form Disambiguated ID Type / Status
Subject Mâconnais E46303 entity
Predicate hasNotableVillage P4011 FINISHED
Object Loché
Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
 E288869 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: Loché | Statement: [Mâconnais, hasNotableVillage, Loché]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loché
Context triple: [Mâconnais, hasNotableVillage, Loché]
  • A. Labourd
    Labourd is a historic coastal province in the French Basque Country, known for its Basque culture, Atlantic beaches, and towns like Bayonne and Biarritz.
  • B. Niort
    Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
  • C. Yssingeaux
    Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
  • D. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • E. Roanne
    Roanne is a commune and industrial town in central France, situated on the Loire River and known historically for its textile industry and river port.
  • 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: Loché
Triple: [Mâconnais, hasNotableVillage, Loché]
Generated description
Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loché
Target entity description: Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
  • A. Labourd
    Labourd is a historic coastal province in the French Basque Country, known for its Basque culture, Atlantic beaches, and towns like Bayonne and Biarritz.
  • B. Niort
    Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
  • C. Yssingeaux
    Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
  • D. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • E. Roanne
    Roanne is a commune and industrial town in central France, situated on the Loire River and known historically for its textile industry and river port.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b7c9188190a824e4b469bc1548 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa04046cc81908876e639d2144d8f completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa180fadc8190b376687c8afb1748 completed March 10, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69afa2172bc881908e17ab0eb3f9bb08 completed March 10, 2026, 4:46 a.m.
Created at: March 4, 2026, 7:57 p.m.