Triple

T374365
Position Surface form Disambiguated ID Type / Status
Subject Lake Geneva E8337 entity
Predicate inflow P415 FINISHED
Object Aubonne
Aubonne is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
 E83951 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: Aubonne | Statement: [Lake Geneva, inflow, Aubonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aubonne
Context triple: [Lake Geneva, inflow, Aubonne]
  • A. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • B. 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.
  • C. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • D. 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.
  • E. Corsier-sur-Vevey
    Corsier-sur-Vevey is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known as the final home of film legend Charlie Chaplin.
  • 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: Aubonne
Triple: [Lake Geneva, inflow, Aubonne]
Generated description
Aubonne is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aubonne
Target entity description: Aubonne is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
  • A. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • B. 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.
  • C. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • D. 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.
  • E. Corsier-sur-Vevey
    Corsier-sur-Vevey is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known as the final home of film legend Charlie Chaplin.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec13b9b48190b294d998c6720132 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc8df9708190976967ad4e45a597 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5de11a0ac81909247a98bbc317cf7 completed March 2, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69a5febeeb908190a42d468edfe985ef completed March 2, 2026, 9:18 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.