Triple
T230926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Geneva |
E4408
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Cologny
Cologny is an affluent municipality on the shores of Lake Geneva in Switzerland, known for its scenic views and as the home of the World Economic Forum’s headquarters.
|
E70807
|
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: Cologny | Statement: [canton of Geneva, hasMunicipality, Cologny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cologny Context triple: [canton of Geneva, hasMunicipality, Cologny]
-
A.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
B.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
C.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
-
D.
Neuchâtel
Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
-
E.
Plan-les-Ouates
Plan-les-Ouates is a municipality in western Switzerland known for its watchmaking and high-tech industries within the canton 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: Cologny Triple: [canton of Geneva, hasMunicipality, Cologny]
Generated description
Cologny is an affluent municipality on the shores of Lake Geneva in Switzerland, known for its scenic views and as the home of the World Economic Forum’s headquarters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cologny Target entity description: Cologny is an affluent municipality on the shores of Lake Geneva in Switzerland, known for its scenic views and as the home of the World Economic Forum’s headquarters.
-
A.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
B.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
C.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
-
D.
Neuchâtel
Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
-
E.
Plan-les-Ouates
Plan-les-Ouates is a municipality in western Switzerland known for its watchmaking and high-tech industries within the canton 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_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_69a4ed2f315c8190a6cb00ce703b00b1 |
completed | March 2, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69a4ee8ff8908190a8d59f3bca394faf |
completed | March 2, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4eee1013c8190b1adce3ad9c6e053 |
completed | March 2, 2026, 1:58 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.