Triple

T2380732
Position Surface form Disambiguated ID Type / Status
Subject Mâconnais E46303 entity
Predicate hasSubregion P285 FINISHED
Object Saint-Véran
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
E323968 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: Saint-Véran | Statement: [Mâconnais, hasSubregion, Saint-Véran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Véran
Context triple: [Mâconnais, hasSubregion, Saint-Véran]
  • A. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • B. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Brioude
    Brioude is a historic town in south-central France known for its Romanesque Basilica of Saint-Julien and its location in the Haute-Loire department of the Auvergne region.
  • E. Montbéliard
    Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
  • 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: Saint-Véran
Triple: [Mâconnais, hasSubregion, Saint-Véran]
Generated description
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saint-Véran
Target entity description: Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
  • A. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • B. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Brioude
    Brioude is a historic town in south-central France known for its Romanesque Basilica of Saint-Julien and its location in the Haute-Loire department of the Auvergne region.
  • E. Montbéliard
    Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
  • 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_69b1f84a88388190af50c6861c635383 completed March 11, 2026, 11:18 p.m.
NEDg Description generation batch_69b1f8c2342c8190a679d9a5398aa5f6 completed March 11, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69b1f8f93bd88190a7dfa7ad1a29c6e3 completed March 11, 2026, 11:21 p.m.
Created at: March 4, 2026, 7:57 p.m.