R4
E121372
R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
All labels observed (1)
| Label | Occurrences |
|---|---|
| R4 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1057529 — 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: R4 Context triple: [Regjeringskvartalet, containsBuilding, R4]
-
A.
R
R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
-
B.
R
R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
-
C.
RA
RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
-
D.
RA
RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
-
E.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
- 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: R4 Target entity description: R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
A.
R
R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
-
B.
R
R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
-
C.
RA
RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
-
D.
RA
RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
-
E.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
building in Oslo
ⓘ
government office building ⓘ office building ⓘ |
| category |
Buildings and structures in Oslo
ⓘ
Government buildings in Norway ⓘ Office buildings in Oslo ⓘ |
| coordinateLocation |
Oslo (approximate)
ⓘ
linked to:
Oslo
|
| country | Norway ⓘ |
| hasFunction | houses Norwegian government ministries ⓘ |
| heritageStatus | subject to Norwegian planning and heritage regulations ⓘ |
| locatedIn |
Oslo
ⓘ
Regjeringskvartalet ⓘ |
| locatedInAdministrativeTerritory |
Oslo county
ⓘ
Oslo municipality ⓘ
linked to:
Oslo
|
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| locatedInUrbanArea |
Oslo city centre
ⓘ
linked to:
Sentrum, Oslo
|
| locatedNear | other Regjeringskvartalet buildings ⓘ |
| nativeNameLanguage | Norwegian ⓘ |
| ownedBy |
Government of Norway
ⓘ
Norwegian state ⓘ
linked to:
Kingdom of Norway
|
| partOf |
Norwegian government quarter
ⓘ
linked to:
Regjeringskvartalet
Regjeringskvartalet ⓘ |
| use |
administrative offices
ⓘ
government offices ⓘ |
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: R4 Description of subject: R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.