Bruxelles-Nord / Brussel-Noord
E75442
Bruxelles-Nord / Brussel-Noord is one of the main railway stations in Brussels, serving as a major hub for national and international train connections in Belgium.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Bruxelles-Nord / Brussel-Noord canonical | 4 |
| Brussel-Noord | 2 |
| Bruxelles-Nord | 2 |
| Brussels-North business district | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T436392 — 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: Bruxelles-Nord / Brussel-Noord Context triple: [Brussels, hasRailwayStation, Bruxelles-Nord / Brussel-Noord]
-
A.
Bruxelles-Midi / Brussel-Zuid
Bruxelles-Midi / Brussel-Zuid is the main international and long-distance railway hub of Brussels, serving high-speed trains like Eurostar and Thalys as well as extensive domestic services.
-
B.
Vilvoorde
Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
-
C.
European Quarter of Brussels
The European Quarter of Brussels is the city’s main administrative district that hosts key institutions of the European Union and numerous related offices, organizations, and diplomatic representations.
-
D.
La Hulpe, Belgium
La Hulpe is a small municipality in Walloon Brabant, Belgium, known for hosting the headquarters of the global financial messaging network SWIFT and for its nearby Solvay Castle and park.
-
E.
Ghent
Ghent is a historic city in the Flemish region of Belgium, known for its medieval architecture, canals, and role as a major cultural and economic center in the Middle Ages.
- 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: Bruxelles-Nord / Brussel-Noord Target entity description: Bruxelles-Nord / Brussel-Noord is one of the main railway stations in Brussels, serving as a major hub for national and international train connections in Belgium.
-
A.
Bruxelles-Midi / Brussel-Zuid
Bruxelles-Midi / Brussel-Zuid is the main international and long-distance railway hub of Brussels, serving high-speed trains like Eurostar and Thalys as well as extensive domestic services.
-
B.
Vilvoorde
Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
-
C.
European Quarter of Brussels
The European Quarter of Brussels is the city’s main administrative district that hosts key institutions of the European Union and numerous related offices, organizations, and diplomatic representations.
-
D.
La Hulpe, Belgium
La Hulpe is a small municipality in Walloon Brabant, Belgium, known for hosting the headquarters of the global financial messaging network SWIFT and for its nearby Solvay Castle and park.
-
E.
Ghent
Ghent is a historic city in the Flemish region of Belgium, known for its medieval architecture, canals, and role as a major cultural and economic center in the Middle Ages.
- F. None of above. chosen
Statements (49)
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: Bruxelles-Nord / Brussel-Noord Description of subject: Bruxelles-Nord / Brussel-Noord is one of the main railway stations in Brussels, serving as a major hub for national and international train connections in Belgium.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Brussels
Bruxelles-Nord / Brussel-Noord
→
locatedIn
→
Bruxelles-Nord / Brussel-Noord
self-linksurface differs
ⓘ
this entity surface form:
Brussels-North business district
Bruxelles-Nord / Brussel-Noord
→
officialName
→
Bruxelles-Nord / Brussel-Noord
self-linksurface differs
ⓘ
this entity surface form:
Bruxelles-Nord
Bruxelles-Nord / Brussel-Noord
→
officialName
→
Bruxelles-Nord / Brussel-Noord
self-linksurface differs
ⓘ
this entity surface form:
Brussel-Noord
this entity surface form:
Bruxelles-Nord
this entity surface form:
Brussel-Noord