Valckenierstraat
E786723
Valckenierstraat is a street in Amsterdam, Netherlands, located near the University of Amsterdam’s Roeterseiland Campus.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Valckenierstraat canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9012844 — 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: Valckenierstraat Context triple: [Roeterseiland Campus, hasAddressComponent, Valckenierstraat]
-
A.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
B.
Valkenburgerstraat
Valkenburgerstraat is a street in central Amsterdam, Netherlands, located near the Waterlooplein area and served by the city’s metro network.
-
C.
Van Baerlestraat
Van Baerlestraat is a major street in Amsterdam known for running alongside the Museumplein and providing access to several prominent museums and cultural institutions.
-
D.
De Lairessestraat
De Lairessestraat is a prominent street in Amsterdam’s Oud-Zuid district, known for its upscale residential buildings and proximity to cultural attractions.
-
E.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
- 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: Valckenierstraat Target entity description: Valckenierstraat is a street in Amsterdam, Netherlands, located near the University of Amsterdam’s Roeterseiland Campus.
-
A.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
B.
Valkenburgerstraat
Valkenburgerstraat is a street in central Amsterdam, Netherlands, located near the Waterlooplein area and served by the city’s metro network.
-
C.
Van Baerlestraat
Van Baerlestraat is a major street in Amsterdam known for running alongside the Museumplein and providing access to several prominent museums and cultural institutions.
-
D.
De Lairessestraat
De Lairessestraat is a prominent street in Amsterdam’s Oud-Zuid district, known for its upscale residential buildings and proximity to cultural attractions.
-
E.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
street
ⓘ
thoroughfare ⓘ |
| country | Netherlands ⓘ |
| hasBuildingUse |
educational
ⓘ
office ⓘ residential ⓘ |
| hasCity | Amsterdam ⓘ |
| hasCountrySubdivision | Randstad metropolitan region ⓘ |
| hasMunicipality | Amsterdam ⓘ |
| hasOfficialLanguage | Dutch ⓘ |
| hasPostalCode | 1018 ⓘ |
| hasProvince | North Holland ⓘ |
| hasSidewalks | yes ⓘ |
| hasSpeedLimitCategory | low-speed urban street ⓘ |
| hasStreetCategory | urban street ⓘ |
| hasStreetOrientation | roughly east–west ⓘ |
| hasSurfaceType | paved road ⓘ |
| hasTransportMode |
bicycles
ⓘ
motor vehicles ⓘ pedestrians ⓘ |
| isInTimeZone |
CEST
ⓘ
CET ⓘ |
| locatedIn |
Amsterdam
ⓘ
Netherlands ⓘ North Holland ⓘ |
| near |
Roeterseiland Campus
ⓘ
University of Amsterdam ⓘ |
| partOf |
Amsterdam city centre
ⓘ
linked to:
Amsterdam-Centrum
|
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: Valckenierstraat Description of subject: Valckenierstraat is a street in Amsterdam, Netherlands, located near the University of Amsterdam’s Roeterseiland Campus.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.