Triple

T230945
Position Surface form Disambiguated ID Type / Status
Subject canton of Geneva E4408 entity
Predicate hasMunicipality P847 FINISHED
Object Hermance
Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
 E72184 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: Hermance | Statement: [canton of Geneva, hasMunicipality, Hermance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hermance
Context triple: [canton of Geneva, hasMunicipality, Hermance]
  • A. Chêne-Bougeries
    Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
  • B. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • C. Lancy
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • D. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • E. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • 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: Hermance
Triple: [canton of Geneva, hasMunicipality, Hermance]
Generated description
Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hermance
Target entity description: Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
  • A. Chêne-Bougeries
    Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
  • B. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • C. Lancy
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • D. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • E. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cadae1c8190be0e8dcf33351187 completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a501b9767c8190a3449503fa372c64 completed March 2, 2026, 3:19 a.m.
NEDg Description generation batch_69a5042b2dec81909660d83b5d472392 completed March 2, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69a504bef61c8190a83f8b2cb356be29 completed March 2, 2026, 3:32 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.