Triple

T11784518
Position Surface form Disambiguated ID Type / Status
Subject Bugey E280236 entity
Predicate hasSubregion P285 FINISHED
Object Cerdon
Cerdon is a commune in the Ain department of eastern France, noted for its vineyards and traditional sparkling rosé wine.
 E946351 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: Cerdon | Statement: [Bugey, hasSubregion, Cerdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cerdon
Context triple: [Bugey, hasSubregion, Cerdon]
  • A. Cerbillona
    Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
  • B. Cairon
    Cairon is a small commune in the Calvados department of the Normandy region in northwestern France.
  • C. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • D. Dunira
    Dunira is a historic Scottish country estate notable for its 19th-century architecture and landscaped grounds.
  • E. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • 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: Cerdon
Triple: [Bugey, hasSubregion, Cerdon]
Generated description
Cerdon is a commune in the Ain department of eastern France, noted for its vineyards and traditional sparkling rosé wine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cerdon
Target entity description: Cerdon is a commune in the Ain department of eastern France, noted for its vineyards and traditional sparkling rosé wine.
  • A. Cerbillona
    Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
  • B. Cairon
    Cairon is a small commune in the Calvados department of the Normandy region in northwestern France.
  • C. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • D. Dunira
    Dunira is a historic Scottish country estate notable for its 19th-century architecture and landscaped grounds.
  • E. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a585795c8190aa8a5edf0d99b47f completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090d861f481909b920197a3d60e28 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd3f39608190b29027b30664bd9c completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef5afd448190953b5d9929478132 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.