Triple

T10594500
Position Surface form Disambiguated ID Type / Status
Subject La Venoge E250074 entity
Predicate flowsThrough P225 FINISHED
Object Cossonay
Cossonay is a historic municipality in the canton of Vaud in western Switzerland, known for its medieval old town and scenic setting above the Venoge River valley.
E888430 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: Cossonay | Statement: [La Venoge, flowsThrough, Cossonay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cossonay
Context triple: [La Venoge, flowsThrough, Cossonay]
  • A. Céligny
    Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
  • B. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • C. Chavornay
    Chavornay is a municipality in the canton of Vaud in western Switzerland, known for its rural character and location in the Orbe plain.
  • D. Bossonnens
    Bossonnens is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Le Locle
    Le Locle is a Swiss town in the Jura Mountains renowned as a historic center of the watchmaking industry and a UNESCO World Heritage Site.
  • 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: Cossonay
Triple: [La Venoge, flowsThrough, Cossonay]
Generated description
Cossonay is a historic municipality in the canton of Vaud in western Switzerland, known for its medieval old town and scenic setting above the Venoge River valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cossonay
Target entity description: Cossonay is a historic municipality in the canton of Vaud in western Switzerland, known for its medieval old town and scenic setting above the Venoge River valley.
  • A. Céligny
    Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
  • B. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • C. Chavornay
    Chavornay is a municipality in the canton of Vaud in western Switzerland, known for its rural character and location in the Orbe plain.
  • D. Bossonnens
    Bossonnens is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Le Locle
    Le Locle is a Swiss town in the Jura Mountains renowned as a historic center of the watchmaking industry and a UNESCO World Heritage Site.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278bacd88190a50dedfa59b622fc completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69deb055648c819085d36458847926b4 completed April 14, 2026, 9:23 p.m.
NEDg Description generation batch_69deb384fb588190ae5d11a60fec0f53 completed April 14, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69deb4a2d4c48190a828262b1cc05b37 completed April 14, 2026, 9:41 p.m.
Created at: April 6, 2026, 12:41 p.m.