Triple

T7530843
Position Surface form Disambiguated ID Type / Status
Subject Riviera-Pays-d’Enhaut District E178017 entity
Predicate contains P35 FINISHED
Object Rossinière
Rossinière is a picturesque Swiss village in the canton of Vaud, known for its traditional wooden chalets and alpine scenery.
E669502 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: Rossinière | Statement: [Riviera-Pays-d’Enhaut District, contains, Rossinière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rossinière
Context triple: [Riviera-Pays-d’Enhaut District, contains, Rossinière]
  • A. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • E. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • 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: Rossinière
Triple: [Riviera-Pays-d’Enhaut District, contains, Rossinière]
Generated description
Rossinière is a picturesque Swiss village in the canton of Vaud, known for its traditional wooden chalets and alpine scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rossinière
Target entity description: Rossinière is a picturesque Swiss village in the canton of Vaud, known for its traditional wooden chalets and alpine scenery.
  • A. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • E. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8217b1c8190b3db453cee0fc4fd completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8463e08ac8190abd4d19b58067233 completed March 28, 2026, 9:21 p.m.
NEDg Description generation batch_69c846b326088190b93a32c70bcc97ca completed March 28, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c8479490688190bc56b5a21d779b18 completed March 28, 2026, 9:26 p.m.
Created at: March 27, 2026, 3:47 p.m.