Triple

T21334549
Position Surface form Disambiguated ID Type / Status
Subject Lausanne District E526005 entity
Predicate contains P35 FINISHED
Object Crissier
Crissier is a municipality in the canton of Vaud in western Switzerland, located in the suburban area northwest of Lausanne.
 E1496477 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: Crissier | Statement: [Lausanne District, contains, Crissier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crissier
Context triple: [Lausanne District, contains, Crissier]
  • A. Champéry
    Champéry is a Swiss alpine village and ski resort in the canton of Valais, known for its access to the Portes du Soleil ski area and mountain tourism.
  • B. Fribourg
    Fribourg is a bilingual Swiss canton in western Switzerland known for its medieval capital city and location at the cultural boundary between French- and German-speaking regions.
  • C. Chambéry
    Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
  • D. Lancy
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • E. Carouge
    Carouge is a municipality in southwestern Switzerland known for its historic Sardinian-style old town and vibrant cultural scene, located just south of the city of Geneva.
  • 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: Crissier
Triple: [Lausanne District, contains, Crissier]
Generated description
Crissier is a municipality in the canton of Vaud in western Switzerland, located in the suburban area northwest of Lausanne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crissier
Target entity description: Crissier is a municipality in the canton of Vaud in western Switzerland, located in the suburban area northwest of Lausanne.
  • A. Champéry
    Champéry is a Swiss alpine village and ski resort in the canton of Valais, known for its access to the Portes du Soleil ski area and mountain tourism.
  • B. Fribourg
    Fribourg is a bilingual Swiss canton in western Switzerland known for its medieval capital city and location at the cultural boundary between French- and German-speaking regions.
  • C. Chambéry
    Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
  • D. Lancy
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • E. Carouge
    Carouge is a municipality in southwestern Switzerland known for its historic Sardinian-style old town and vibrant cultural scene, located just south of the city of Geneva.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d602c08190821c63e0aff42fc2 completed April 22, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1dff1fbc819091ff7495d1cc222c completed May 17, 2026, 7:58 p.m.
NEDg Description generation batch_6a0a1eac9b648190881c97d474762fc0 completed May 17, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1f3b77488190bfb73b9e83446bb3 completed May 17, 2026, 8:04 p.m.
Created at: April 16, 2026, 4:43 p.m.