Haaren
E567968
Haaren is a village and former municipality in the Dutch province of North Brabant.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T6094981 — 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: Haaren Context triple: [Helvoirt, previouslyPartOf, Haaren]
-
A.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
B.
Hassel
Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
-
C.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
D.
Hakstol
Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
-
E.
Háje
Háje is a Prague Metro station serving as the southern terminus of Line C in the Háje district of the city.
- 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: Haaren Target entity description: Haaren is a village and former municipality in the Dutch province of North Brabant.
-
A.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
B.
Hassel
Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
-
C.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
D.
Hakstol
Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
-
E.
Háje
Háje is a Prague Metro station serving as the southern terminus of Line C in the Háje district of the city.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
former municipality
ⓘ
village ⓘ |
| areaCode | 0411 ⓘ |
| country |
Netherlands
ⓘ
Netherlands ⓘ |
| dissolutionDate |
2021-01-01
ⓘ
2021-01-01 ⓘ |
| formerPartOf | municipality of Haaren ⓘ |
| hadPart |
Biezenmortel
ⓘ
Esch ⓘ Haaren ⓘ Helvoirt ⓘ |
| hasCoordinateRegion | southern North Brabant ⓘ |
| language | Dutch ⓘ |
| locatedIn |
North Brabant
ⓘ
North Brabant ⓘ Oisterwijk ⓘ southern Netherlands ⓘ |
| locatedNear |
Oisterwijk
ⓘ
Tilburg ⓘ ’s-Hertogenbosch ⓘ |
| notableFor |
forested surroundings
ⓘ
rural character ⓘ |
| partOf |
Langstraat region
ⓘ
municipality of Oisterwijk ⓘ |
| postalCodeRegion | 5076 ⓘ |
| province | North 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: Haaren Description of subject: Haaren is a village and former municipality in the Dutch province of North Brabant.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Haaren