Triple

T4670812
Position Surface form Disambiguated ID Type / Status
Subject Franches-Montagnes E102956 entity
Predicate contains P35 FINISHED
Object Les Breuleux
Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
 E483989 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: Les Breuleux | Statement: [Franches-Montagnes, contains, Les Breuleux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Breuleux
Context triple: [Franches-Montagnes, contains, Les Breuleux]
  • A. L’Arbresle
    L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
  • B. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • C. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Roquebrun
    Roquebrun is a picturesque village in southern France’s Hérault department, known for its Mediterranean microclimate, wine production, and scenic setting amid hills and river landscapes.
  • 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: Les Breuleux
Triple: [Franches-Montagnes, contains, Les Breuleux]
Generated description
Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Breuleux
Target entity description: Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • A. L’Arbresle
    L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
  • B. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • C. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Roquebrun
    Roquebrun is a picturesque village in southern France’s Hérault department, known for its Mediterranean microclimate, wine production, and scenic setting amid hills and river landscapes.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd634ef5608190925663e988e3585b completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89c2485881908797f4a3560a0b04 completed March 21, 2026, 12:06 p.m.
NEDg Description generation batch_69be8aaa3eac8190876fc8c892cb7c3f completed March 21, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69be8b164c8c8190b03e7e4892b6aa9e completed March 21, 2026, 12:12 p.m.
Created at: March 20, 2026, 1:15 p.m.