Oslo Havn KF
E156720
Oslo Havn KF is the municipal enterprise responsible for managing and developing the Port of Oslo’s harbor infrastructure and maritime operations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Oslo Havn KF canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1356090 — 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: Oslo Havn KF Context triple: [Port of Oslo, operator, Oslo Havn KF]
-
A.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
B.
Stabæk Fotball
Stabæk Fotball is a Norwegian professional football club based in Bærum, known for competing in the country’s top divisions and developing notable players and coaches.
-
C.
Lillehammer FK
Lillehammer FK is a Norwegian football club based in the town of Lillehammer, competing in the lower tiers of the national league system.
-
D.
Kvik Halden FK
Kvik Halden FK is a Norwegian football club based in the town of Halden, known for competing in the national league system.
-
E.
Örgryte IS
Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
- 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: Oslo Havn KF Target entity description: Oslo Havn KF is the municipal enterprise responsible for managing and developing the Port of Oslo’s harbor infrastructure and maritime operations.
-
A.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
B.
Stabæk Fotball
Stabæk Fotball is a Norwegian professional football club based in Bærum, known for competing in the country’s top divisions and developing notable players and coaches.
-
C.
Lillehammer FK
Lillehammer FK is a Norwegian football club based in the town of Lillehammer, competing in the lower tiers of the national league system.
-
D.
Kvik Halden FK
Kvik Halden FK is a Norwegian football club based in the town of Halden, known for competing in the national league system.
-
E.
Örgryte IS
Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
municipal enterprise
ⓘ
port authority ⓘ |
| alsoKnownAs |
Port of Oslo Authority
ⓘ
linked to:
Port of Oslo
|
| appliesRegulation | Norwegian port and maritime legislation ⓘ |
| country | Norway ⓘ |
| focusesOn |
environmental measures in port operations
ⓘ
sustainable port development ⓘ |
| headquartersLocation | Oslo ⓘ |
| industry |
logistics
ⓘ
maritime industry ⓘ transportation ⓘ |
| jurisdiction |
Oslo Municipality
ⓘ
linked to:
Oslo
|
| languageOfWorkOrName | Norwegian ⓘ |
| legalForm | kommunalt foretak ⓘ |
| locatedIn | Oslo ⓘ |
| mainResponsibility |
development of port infrastructure in Oslo
ⓘ
management of port areas and quays in Oslo ⓘ operation of cargo terminals in the Port of Oslo ⓘ operation of passenger terminals in the Port of Oslo ⓘ |
| manages | Port of Oslo ⓘ |
| operatesInSector |
maritime transport
ⓘ
port management ⓘ |
| owner |
Oslo Municipality
ⓘ
linked to:
Oslo
|
| partOf |
Oslo municipal administration
ⓘ
linked to:
City Government of Oslo
|
| responsibleFor |
harbor infrastructure in the Port of Oslo
ⓘ
maritime operations in the Port of Oslo ⓘ |
| serves |
cargo shipping
ⓘ
cruise traffic to Oslo ⓘ passenger shipping ⓘ |
| website | https://www.oslohavn.no ⓘ |
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: Oslo Havn KF Description of subject: Oslo Havn KF is the municipal enterprise responsible for managing and developing the Port of Oslo’s harbor infrastructure and maritime operations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.