Sørenga terminal
E157587
Sørenga terminal is a key cargo and logistics facility within the Port of Oslo, handling maritime freight operations for the Norwegian capital.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sørenga terminal canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1356117 — 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: Sørenga terminal Context triple: [Port of Oslo, hasPart, Sørenga terminal]
-
A.
Kongsseteren
Kongsseteren is a historic winter residence and retreat used by the Norwegian royal family near Oslo.
-
B.
Kongsvinger
Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
-
C.
Tøyen
Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
-
D.
Støre
Støre is a Norwegian surname most prominently associated with Jonas Gahr Støre, the Prime Minister of Norway and leader of the Labour Party.
-
E.
Port of Halden
Port of Halden is a Norwegian maritime port serving the town of Halden near the Swedish border, handling regional cargo and ferry traffic along the Oslofjord–Skagerrak corridor.
- 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: Sørenga terminal Target entity description: Sørenga terminal is a key cargo and logistics facility within the Port of Oslo, handling maritime freight operations for the Norwegian capital.
-
A.
Kongsseteren
Kongsseteren is a historic winter residence and retreat used by the Norwegian royal family near Oslo.
-
B.
Kongsvinger
Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
-
C.
Tøyen
Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
-
D.
Støre
Støre is a Norwegian surname most prominently associated with Jonas Gahr Støre, the Prime Minister of Norway and leader of the Labour Party.
-
E.
Port of Halden
Port of Halden is a Norwegian maritime port serving the town of Halden near the Swedish border, handling regional cargo and ferry traffic along the Oslofjord–Skagerrak corridor.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
cargo terminal
ⓘ
logistics facility ⓘ port facility ⓘ |
| cityServed | Oslo ⓘ |
| country | Norway ⓘ |
| function | handling maritime freight operations for Oslo ⓘ |
| handles |
cargo
ⓘ
logistics operations ⓘ maritime freight ⓘ |
| hasLanguage | Norwegian ⓘ |
| hasNameInNorwegian | Sørenga terminal ⓘ |
| locatedIn |
Norway
ⓘ
Oslo ⓘ |
| locatedInWaterbody | Oslofjord ⓘ |
| operator | Port of Oslo ⓘ |
| partOf |
Oslo port infrastructure
ⓘ
Port of Oslo ⓘ |
| role |
key cargo facility in the Port of Oslo
ⓘ
key logistics facility in the Port of Oslo ⓘ |
| serves | Norwegian capital ⓘ |
| servesSector |
freight logistics
ⓘ
maritime shipping ⓘ |
| usedFor |
cargo handling
ⓘ
logistics services ⓘ maritime transport ⓘ |
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: Sørenga terminal Description of subject: Sørenga terminal is a key cargo and logistics facility within the Port of Oslo, handling maritime freight operations for the Norwegian capital.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.