Mol
E543566
Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mol canonical | 10 |
How this entity was disambiguated
This entity first appeared as the object of triple T5749724 — 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: Mol Context triple: [Antwerp Province, contains, Mol]
-
A.
MOF
MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
-
B.
Milorg
Milorg was the main Norwegian military resistance organization during World War II, coordinating sabotage, intelligence, and preparations for liberation under German occupation.
-
C.
MSO
MSO is the National Rail station code for Moston railway station in Greater Manchester, England.
-
D.
Molten
Molten is a Japanese sports equipment manufacturer best known for producing high-quality balls used in major international competitions across football, basketball, and other sports.
-
E.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
- 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: Mol Target entity description: Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
-
A.
MOF
MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
-
B.
Milorg
Milorg was the main Norwegian military resistance organization during World War II, coordinating sabotage, intelligence, and preparations for liberation under German occupation.
-
C.
MSO
MSO is the National Rail station code for Moston railway station in Greater Manchester, England.
-
D.
Molten
Molten is a Japanese sports equipment manufacturer best known for producing high-quality balls used in major international competitions across football, basketball, and other sports.
-
E.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | municipality ⓘ |
| administeredBy | municipal council of Mol ⓘ |
| contains |
Postel Abbey
ⓘ
Zilvermeer recreation area ⓘ Zilverstrand recreation area ⓘ
linked to:
Zilvermeer recreation area
|
| country | Belgium ⓘ |
| governmentType | municipal government ⓘ |
| hasAreaCode | 014 ⓘ |
| hasClimate | temperate maritime climate ⓘ |
| hasEconomicActivity |
services sector
ⓘ
tourism ⓘ |
| hasFeature |
lakes
ⓘ
nature reserves ⓘ recreational tourism ⓘ |
| hasHeritage |
Postel Norbertine abbey
ⓘ
linked to:
Postel Abbey
|
| hasNeighbor |
Balen
ⓘ
Dessel ⓘ Geel ⓘ Lommel ⓘ Retie ⓘ |
| hasOfficialLanguage | Dutch ⓘ |
| hasPostalCode | 2400 ⓘ |
| hasRecreation |
camping sites
ⓘ
cycling routes ⓘ hiking trails ⓘ |
| hasSubdivision |
Donk
ⓘ
Ezaart ⓘ
linked to:
Eksaarde
Ginderbuiten ⓘ Millegem ⓘ
linked to:
Wommelgem
Postel ⓘ Rauw ⓘ Sluis ⓘ Wezel ⓘ |
| hasSymbol |
coat of arms of Mol
ⓘ
flag of Mol ⓘ |
| hasTransport |
railway station Mol
ⓘ
regional bus connections ⓘ |
| hasWaterBody | sand-extraction lakes ⓘ |
| isInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| knownFor |
natural landscapes
ⓘ
outdoor recreation ⓘ recreational lakes ⓘ |
| locatedIn |
Campine region
ⓘ
Flanders ⓘ province of Antwerp ⓘ
linked to:
Antwerp Province
|
| locatedNear | Dutch border ⓘ |
| partOf | Belgian municipality structure ⓘ |
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: Mol Description of subject: Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.