Eilert Sundts hus
E532070
Eilert Sundts hus is a main academic building at the University of Oslo that houses key social science departments, including the Institute of Economics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Eilert Sundts hus canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5580176 — 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: Eilert Sundts hus Context triple: [Institute of Economics at the University of Oslo, locatedInBuilding, Eilert Sundts hus]
-
A.
Mjølhus
Mjølhus is a small settlement located within the municipality of Froland in Agder county, Norway.
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B.
St. Hanshaugen
St. Hanshaugen is a central borough of Oslo, Norway, known for its large hillside park and vibrant urban residential areas.
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C.
Frognerseteren
Frognerseteren is a hilltop area in Oslo, Norway, known for its panoramic views over the city, traditional wooden restaurant, and access to popular hiking and skiing trails.
-
D.
Gjøvik Town Hall
Gjøvik Town Hall is the main municipal administrative building and civic center of the town of Gjøvik in Norway.
-
E.
Bygdøy Royal Estate
Bygdøy Royal Estate is a historic royal property on the Bygdøy peninsula in Oslo that serves as one of the official residences of Norway’s monarch.
- 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: Eilert Sundts hus Target entity description: Eilert Sundts hus is a main academic building at the University of Oslo that houses key social science departments, including the Institute of Economics.
-
A.
Mjølhus
Mjølhus is a small settlement located within the municipality of Froland in Agder county, Norway.
-
B.
St. Hanshaugen
St. Hanshaugen is a central borough of Oslo, Norway, known for its large hillside park and vibrant urban residential areas.
-
C.
Frognerseteren
Frognerseteren is a hilltop area in Oslo, Norway, known for its panoramic views over the city, traditional wooden restaurant, and access to popular hiking and skiing trails.
-
D.
Gjøvik Town Hall
Gjøvik Town Hall is the main municipal administrative building and civic center of the town of Gjøvik in Norway.
-
E.
Bygdøy Royal Estate
Bygdøy Royal Estate is a historic royal property on the Bygdøy peninsula in Oslo that serves as one of the official residences of Norway’s monarch.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
academic building
ⓘ
university building ⓘ |
| city | Oslo NERFINISHED ⓘ |
| country | Norway ⓘ |
| hasFunction |
office space for academic staff
ⓘ
research ⓘ teaching ⓘ |
| houses |
Institute of Economics, University of Oslo
NERFINISHED
ⓘ
social science departments at the University of Oslo ⓘ |
| languageOfName | Norwegian ⓘ |
| locatedIn | University of Oslo NERFINISHED ⓘ |
| namedAfter | Eilert Sundt NERFINISHED ⓘ |
| partOf | Faculty of Social Sciences, University of Oslo NERFINISHED ⓘ |
| usedBy |
academic staff of the University of Oslo
ⓘ
students of social sciences at the University of Oslo ⓘ |
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: Eilert Sundts hus Description of subject: Eilert Sundts hus is a main academic building at the University of Oslo that houses key social science departments, including the Institute of Economics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.