Triple

T4991780
Position Surface form Disambiguated ID Type / Status
Subject Aiguilles Rouges E112146 entity
Predicate hasViewpoint P854 FINISHED
Object Brévent
Brévent is a prominent mountain and viewpoint in the French Alps overlooking the Chamonix valley and offering panoramic views of the Mont Blanc massif.
 E485455 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: Brévent | Statement: [Aiguilles Rouges, hasViewpoint, Brévent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brévent
Context triple: [Aiguilles Rouges, hasViewpoint, Brévent]
  • A. Brévands
    Brévands is a former commune in the Manche department of northwestern France, now part of the larger municipality of Carentan-les-Marais.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • D. Fontenais
    Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
  • E. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • 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: Brévent
Triple: [Aiguilles Rouges, hasViewpoint, Brévent]
Generated description
Brévent is a prominent mountain and viewpoint in the French Alps overlooking the Chamonix valley and offering panoramic views of the Mont Blanc massif.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brévent
Target entity description: Brévent is a prominent mountain and viewpoint in the French Alps overlooking the Chamonix valley and offering panoramic views of the Mont Blanc massif.
  • A. Brévands
    Brévands is a former commune in the Manche department of northwestern France, now part of the larger municipality of Carentan-les-Marais.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • D. Fontenais
    Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
  • E. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729bb45081908d85891a9d9f4b71 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a282dd08190a29b92e8e825a3bb completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8d747c40819098ac5d475d60ab46 completed March 21, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_69be8df7ab9c8190b1af6e32f0f33b30 completed March 21, 2026, 12:24 p.m.
Created at: March 20, 2026, 1:34 p.m.