Roosendaal, Netherlands
E726216
Roosendaal is a city in the southern Netherlands, located in the province of North Brabant near the Belgian border, known as a regional transport hub and commercial center.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Roosendaal, Netherlands canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6733463 — 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: Roosendaal, Netherlands Context triple: [Jesse Klaver, placeOfBirth, Roosendaal, Netherlands]
-
A.
Apeldoorn, Netherlands
Apeldoorn is a city in the province of Gelderland in the central Netherlands, known for the royal palace Het Loo and its surrounding forests and parks.
-
B.
Roermond, Netherlands
Roermond, Netherlands is a historic city in the southeastern province of Limburg known for its medieval architecture, riverside setting, and role as a regional commercial and cultural center.
-
C.
Nuenen, Netherlands
Nuenen, Netherlands is a village in the province of North Brabant known for its association with Vincent van Gogh, who lived and worked there and created several important early paintings.
-
D.
Waalwijk, Netherlands
Waalwijk, Netherlands is a town in the province of North Brabant known for its historical leather and shoe industry and its location between Tilburg and the River Maas.
-
E.
Bilthoven, Netherlands
Bilthoven is a town in the Dutch province of Utrecht, known as a residential suburb of Utrecht and home to several national research institutes.
- 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: Roosendaal, Netherlands Target entity description: Roosendaal is a city in the southern Netherlands, located in the province of North Brabant near the Belgian border, known as a regional transport hub and commercial center.
-
A.
Apeldoorn, Netherlands
Apeldoorn is a city in the province of Gelderland in the central Netherlands, known for the royal palace Het Loo and its surrounding forests and parks.
-
B.
Roermond, Netherlands
Roermond, Netherlands is a historic city in the southeastern province of Limburg known for its medieval architecture, riverside setting, and role as a regional commercial and cultural center.
-
C.
Nuenen, Netherlands
Nuenen, Netherlands is a village in the province of North Brabant known for its association with Vincent van Gogh, who lived and worked there and created several important early paintings.
-
D.
Waalwijk, Netherlands
Waalwijk, Netherlands is a town in the province of North Brabant known for its historical leather and shoe industry and its location between Tilburg and the River Maas.
-
E.
Bilthoven, Netherlands
Bilthoven is a town in the Dutch province of Utrecht, known as a residential suburb of Utrecht and home to several national research institutes.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
city
ⓘ
municipality of the Netherlands ⓘ |
| country | Netherlands ⓘ |
| governingBody | municipal council of Roosendaal ⓘ |
| hasAreaCode | 0165 ⓘ |
| hasEconomicSector |
light industry
ⓘ
logistics ⓘ retail trade ⓘ |
| hasFunction | shopping destination for surrounding region ⓘ |
| hasIndustrialArea | Borchwerf industrial estate NERFINISHED ⓘ |
| hasNeighbouringMunicipality |
Bergen op Zoom
NERFINISHED
ⓘ
Essen, Belgium NERFINISHED ⓘ Etten-Leur NERFINISHED ⓘ Halderberge NERFINISHED ⓘ Rucphen NERFINISHED ⓘ Woensdrecht NERFINISHED ⓘ |
| hasNotableStructure |
Old town hall of Roosendaal
NERFINISHED
ⓘ
Roosendaal railway station building NERFINISHED ⓘ Saint John the Baptist Church (Sint-Janskerk) NERFINISHED ⓘ |
| hasPostalCodeRange | 4700–4709 ⓘ |
| hasRailServiceType |
intercity trains
ⓘ
regional trains ⓘ |
| hasRailwayStation | Roosendaal railway station NERFINISHED ⓘ |
| hasSportsClub | RBC Roosendaal NERFINISHED ⓘ |
| hasTwinTown |
Ermont
NERFINISHED
ⓘ
Gorinchem NERFINISHED ⓘ Vila Franca de Xira NERFINISHED ⓘ Villers-la-Ville NERFINISHED ⓘ |
| is |
commercial center
ⓘ
regional transport hub ⓘ |
| language | Dutch ⓘ |
| locatedIn |
North Brabant
ⓘ
southern Netherlands NERFINISHED ⓘ |
| locatedNear | Belgian border ⓘ |
| mayorTitle | Mayor of Roosendaal ⓘ |
| partOf | West Brabant NERFINISHED ⓘ |
| provinceCapitalDistanceTo | ’s-Hertogenbosch NERFINISHED ⓘ |
| railwayConnectionsTo |
Antwerp
NERFINISHED
ⓘ
Breda NERFINISHED ⓘ Rotterdam NERFINISHED ⓘ Vlissingen NERFINISHED ⓘ |
| railwayStationRole | international rail junction ⓘ |
| regionRole | regional center for West Brabant ⓘ |
| timezone | CET ⓘ |
| timezoneDST | CEST ⓘ |
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: Roosendaal, Netherlands Description of subject: Roosendaal is a city in the southern Netherlands, located in the province of North Brabant near the Belgian border, known as a regional transport hub and commercial center.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.