Triple

T15019484
Position Surface form Disambiguated ID Type / Status
Subject Jura bernois E378045 entity
Predicate contains P35 FINISHED
Object Bévilard
Bévilard is a village in the Bernese Jura region of the canton of Bern in Switzerland.
 E1134579 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: Bévilard | Statement: [Jura bernois, contains, Bévilard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bévilard
Context triple: [Jura bernois, contains, Bévilard]
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • C. Beaujeu
    Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
  • D. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • E. Béraud
    Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
  • 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: Bévilard
Triple: [Jura bernois, contains, Bévilard]
Generated description
Bévilard is a village in the Bernese Jura region of the canton of Bern in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bévilard
Target entity description: Bévilard is a village in the Bernese Jura region of the canton of Bern in Switzerland.
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • C. Beaujeu
    Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
  • D. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • E. Béraud
    Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded76445988190984b57de66e00c4a completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5ae816c8190a36abb46bbdaad7b completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea694090c8190a449725dcdd3a37b completed May 9, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_69fea76e2ff8819099acea30c49bd5ed completed May 9, 2026, 3:18 a.m.
Created at: April 10, 2026, 2:56 a.m.