canton of Obwalden
E187048
The canton of Obwalden is a small, mountainous Swiss canton in central Switzerland, known for its alpine landscapes, lakes, and traditional rural communities.
All labels observed (2)
| Label | Occurrences |
|---|---|
| canton of Obwalden canonical | 7 |
| Canton of Obwalden | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T747708 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: canton of Obwalden Context triple: [Bernese Alps, extendsInto, canton of Obwalden]
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A.
canton of Nidwalden
The canton of Nidwalden is a small, predominantly German-speaking Swiss canton in central Switzerland, known for its alpine landscapes, lakeside scenery along Lake Lucerne, and traditional rural communities.
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B.
canton of Uri
The canton of Uri is a mountainous Swiss canton in central Switzerland, known as one of the founding members of the Swiss Confederation and for encompassing key sections of the Alps and the Gotthard Pass.
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C.
Canton of St. Gallen
The Canton of St. Gallen is a largely German-speaking canton in northeastern Switzerland known for its historic textile industry, the city of St. Gallen with its UNESCO-listed Abbey Library, and its location between Lake Constance and the Alps.
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D.
canton of Bern
The canton of Bern is a large, predominantly German-speaking canton in west-central Switzerland that includes the federal capital city of Bern and encompasses diverse landscapes from the Swiss Plateau to the Alps.
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E.
Canton of Valais
The Canton of Valais is a mountainous region in southwestern Switzerland known for its Alpine landscapes, vineyards, and major ski resorts such as Zermatt and Verbier.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: canton of Obwalden Target entity description: The canton of Obwalden is a small, mountainous Swiss canton in central Switzerland, known for its alpine landscapes, lakes, and traditional rural communities.
-
A.
canton of Nidwalden
The canton of Nidwalden is a small, predominantly German-speaking Swiss canton in central Switzerland, known for its alpine landscapes, lakeside scenery along Lake Lucerne, and traditional rural communities.
-
B.
canton of Uri
The canton of Uri is a mountainous Swiss canton in central Switzerland, known as one of the founding members of the Swiss Confederation and for encompassing key sections of the Alps and the Gotthard Pass.
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C.
Canton of St. Gallen
The Canton of St. Gallen is a largely German-speaking canton in northeastern Switzerland known for its historic textile industry, the city of St. Gallen with its UNESCO-listed Abbey Library, and its location between Lake Constance and the Alps.
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D.
canton of Bern
The canton of Bern is a large, predominantly German-speaking canton in west-central Switzerland that includes the federal capital city of Bern and encompasses diverse landscapes from the Swiss Plateau to the Alps.
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E.
Canton of Valais
The Canton of Valais is a mountainous region in southwestern Switzerland known for its Alpine landscapes, vineyards, and major ski resorts such as Zermatt and Verbier.
- F. None of above. chosen
Statements (46)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: canton of Obwalden Description of subject: The canton of Obwalden is a small, mountainous Swiss canton in central Switzerland, known for its alpine landscapes, lakes, and traditional rural communities.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Canton of Obwalden
this entity surface form:
Canton of Obwalden
this entity surface form:
Canton of Obwalden