Triple

T2640119
Position Surface form Disambiguated ID Type / Status
Subject Isère E62843 entity
Predicate contains P35 FINISHED
Object Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
 E354664 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: Chamrousse | Statement: [Isère, contains, Chamrousse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chamrousse
Context triple: [Isère, contains, Chamrousse]
  • A. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • B. Clessé
    Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
  • C. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Mont-Dore
    Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic 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: Chamrousse
Triple: [Isère, contains, Chamrousse]
Generated description
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chamrousse
Target entity description: Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
  • A. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • B. Clessé
    Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
  • C. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Mont-Dore
    Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fc8ee881908a9f6820d8934a62 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69b34ba6d2cc819091d748b8af7ccbe6 completed March 12, 2026, 11:26 p.m.
NEDg Description generation batch_69b34e44bd748190a9c6c67be6bcb9de completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34ed57bf0819080fa0eb8e6875cb6 completed March 12, 2026, 11:40 p.m.
Created at: March 6, 2026, 9:53 p.m.