Grebbestad
E287284
Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Grebbestad canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2301451 — 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: Grebbestad Context triple: [Tanum, hasNotableSettlement, Grebbestad]
-
A.
Kristinestad
Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
-
B.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
C.
Østerås
Østerås is a suburban area in Bærum, Norway, best known as the western endpoint of one of the Oslo Metro lines.
-
D.
Rakkestad
Rakkestad is a rural municipality in Viken county, southeastern Norway, known for its agriculture and forests.
-
E.
Kjelsås
Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
- 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: Grebbestad Target entity description: Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
-
A.
Kristinestad
Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
-
B.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
C.
Østerås
Østerås is a suburban area in Bærum, Norway, best known as the western endpoint of one of the Oslo Metro lines.
-
D.
Rakkestad
Rakkestad is a rural municipality in Viken county, southeastern Norway, known for its agriculture and forests.
-
E.
Kjelsås
Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
coastal village
ⓘ
fishing village ⓘ locality ⓘ tourist destination ⓘ |
| administrativeTerritoryOf | Tanum Municipality ⓘ |
| climate | oceanic climate ⓘ |
| country | Sweden ⓘ |
| hasEconomicActivity |
fishing
ⓘ
hospitality industry ⓘ tourism ⓘ |
| hasFeature |
archipelago
ⓘ
beaches ⓘ fishing huts ⓘ guest harbour ⓘ harbour ⓘ marina ⓘ rocky coastline ⓘ seafood restaurants ⓘ |
| hasNearbyAttraction |
Strömstad archipelago
ⓘ
surface form:
Bohuslän archipelago
Tanum rock carvings ⓘ |
| knownFor |
boating
ⓘ
coastal tourism ⓘ fishing industry ⓘ oysters ⓘ picturesque archipelago ⓘ sailing ⓘ seafood ⓘ shellfish ⓘ summer tourism ⓘ |
| language | Swedish ⓘ |
| locatedIn |
Bohuslän
ⓘ
Götaland ⓘ Bohuslän ⓘ
surface form:
Northern Bohuslän
Tanum Municipality ⓘ Västra Götaland County ⓘ |
| locatedOn |
Skagerrak
ⓘ
Swedish west coast ⓘ |
| postalCountry | Sweden ⓘ |
| region |
western Sweden
ⓘ
surface form:
West Sweden
|
| timeZone | CET ⓘ |
| timeZoneDST | CEST ⓘ |
| tourismType |
coastal tourism
ⓘ
marine tourism ⓘ nature tourism ⓘ |
| transport | regional bus connections ⓘ |
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: Grebbestad Description of subject: Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.