Triple

T15019491
Position Surface form Disambiguated ID Type / Status
Subject Jura bernois E378045 entity
Predicate contains P35 FINISHED
Object Cortébert
Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
 E1132601 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: Cortébert | Statement: [Jura bernois, contains, Cortébert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cortébert
Context triple: [Jura bernois, contains, Cortébert]
  • A. Peccot
    Peccot is the namesake of the prestigious French mathematical distinction and lecture series known as the Prix Peccot-Vimont at the Collège de France.
  • B. 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.
  • C. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • D. Christophe
    Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
  • E. Christophe
    Christophe is a masculine given name of Greek origin commonly used in French-speaking countries.
  • 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: Cortébert
Triple: [Jura bernois, contains, Cortébert]
Generated description
Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cortébert
Target entity description: Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
  • A. Peccot
    Peccot is the namesake of the prestigious French mathematical distinction and lecture series known as the Prix Peccot-Vimont at the Collège de France.
  • B. 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.
  • C. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • D. Christophe
    Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
  • E. Christophe
    Christophe is a masculine given name of Greek origin commonly used in French-speaking countries.
  • 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_69fe96af719881909906adfd6cb508aa completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe97af0a0c8190bca3ea103d05fd99 completed May 9, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69fe98b18ab48190b2a47418904e6643 completed May 9, 2026, 2:15 a.m.
Created at: April 10, 2026, 2:56 a.m.