Hå
E577058
Hå is a coastal municipality in southwestern Norway known for its agricultural landscape, beaches, and location along the North Sea in Rogaland county.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hå canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T6216542 — 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: Hå Context triple: [Rogaland, hasMunicipality, Hå]
-
A.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
B.
Hasle
Hasle is a small coastal town on the Danish island of Bornholm, known for its historic harbor, smoked herring, and scenic Baltic Sea surroundings.
-
C.
Hassel
Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
-
D.
Haise
Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
-
E.
Hakstol
Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
- 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: Hå Target entity description: Hå is a coastal municipality in southwestern Norway known for its agricultural landscape, beaches, and location along the North Sea in Rogaland county.
-
A.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
B.
Hasle
Hasle is a small coastal town on the Danish island of Bornholm, known for its historic harbor, smoked herring, and scenic Baltic Sea surroundings.
-
C.
Hassel
Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
-
D.
Haise
Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
-
E.
Hakstol
Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | municipality ⓘ |
| administrativeCentre | Varhaug NERFINISHED ⓘ |
| borders |
Bjerkreim municipality
NERFINISHED
ⓘ
Eigersund municipality NERFINISHED ⓘ Klepp municipality NERFINISHED ⓘ Time municipality NERFINISHED ⓘ |
| coast | North Sea NERFINISHED ⓘ |
| coatOfArmsAdopted | 1984 ⓘ |
| coatOfArmsMotive | three silver plowshares on green field ⓘ |
| containsSettlement |
Brusand
NERFINISHED
ⓘ
Nærbø NERFINISHED ⓘ Ogna NERFINISHED ⓘ Varhaug NERFINISHED ⓘ Vigrestad NERFINISHED ⓘ |
| country | Norway ⓘ |
| established | 1964 ⓘ |
| formedByMergerOf |
Nærbø municipality
NERFINISHED
ⓘ
Ogna municipality NERFINISHED ⓘ Varhaug municipality NERFINISHED ⓘ |
| governingBody | Hå municipal council NERFINISHED ⓘ |
| hasAttraction |
Hå gamle prestegard
NERFINISHED
ⓘ
Jæren beaches NERFINISHED ⓘ Kvassheim lighthouse NERFINISHED ⓘ Obrestad lighthouse NERFINISHED ⓘ |
| hasCoatOfArms | Hå coat of arms NERFINISHED ⓘ |
| hasOfficialWebsite | https://www.ha.kommune.no/ ⓘ |
| hasRailway | Sørlandet Line NERFINISHED ⓘ |
| hasRailwayStation |
Brusand Station
NERFINISHED
ⓘ
Nærbø Station NERFINISHED ⓘ Ogna Station NERFINISHED ⓘ Varhaug Station NERFINISHED ⓘ Vigrestad Station NERFINISHED ⓘ |
| knownFor |
agricultural landscape
ⓘ
coastal scenery ⓘ crop farming ⓘ dairy farming ⓘ fishing ⓘ long sandy beaches ⓘ |
| languageForm | Nynorsk NERFINISHED ⓘ |
| locatedIn |
Norwegian region of Jæren
NERFINISHED
ⓘ
Rogaland county NERFINISHED ⓘ Western Norway NERFINISHED ⓘ |
| locatedOn | Jæren plain NERFINISHED ⓘ |
| partOf | Jæren traditional district NERFINISHED ⓘ |
| postalCodePrefix | 4360 ⓘ |
| region | Southwestern Norway NERFINISHED ⓘ |
| 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: Hå Description of subject: Hå is a coastal municipality in southwestern Norway known for its agricultural landscape, beaches, and location along the North Sea in Rogaland county.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Eigersund
subject surface form:
Jæren