Triple

T16467400
Position Surface form Disambiguated ID Type / Status
Subject Valbonne E399970 entity
Predicate hasRiver P165 FINISHED
Object La Brague
La Brague is a small river in southeastern France that flows through the Alpes-Maritimes department and is known for the natural park and walking trails along its banks.
 E1223733 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: La Brague | Statement: [Valbonne, hasRiver, La Brague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Brague
Context triple: [Valbonne, hasRiver, La Brague]
  • A. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • B. Jougne
    Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
  • C. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • D. Le Brusquet
    Le Brusquet is a small commune in southeastern France situated in the Alpes-de-Haute-Provence department.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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: La Brague
Triple: [Valbonne, hasRiver, La Brague]
Generated description
La Brague is a small river in southeastern France that flows through the Alpes-Maritimes department and is known for the natural park and walking trails along its banks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Brague
Target entity description: La Brague is a small river in southeastern France that flows through the Alpes-Maritimes department and is known for the natural park and walking trails along its banks.
  • A. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • B. Jougne
    Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
  • C. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • D. Le Brusquet
    Le Brusquet is a small commune in southeastern France situated in the Alpes-de-Haute-Provence department.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcd707081908fb7ca91a8c09e0a completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9e91f48190b83cefdd2b518082 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e6507208190b3f32c05a2f647bd completed May 10, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_6a007f2cefa081908734a907da33a72f completed May 10, 2026, 12:50 p.m.
Created at: April 10, 2026, 5:11 a.m.