Haarlemmermeer
E6265
Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
All labels observed (7)
| Label | Occurrences |
|---|---|
| Haarlemmermeer canonical | 102 |
| Haarlemmermeer polder | 15 |
| Haarlemmermeer lake | 4 |
| Ringvaart of the Haarlemmermeer | 3 |
| Haarlemmermeer, North Holland, Netherlands | 1 |
| Haarlemmermeerpolder | 1 |
| Ringvaart of the Haarlemmermeer polder | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T50371 — 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: Haarlemmermeer Context triple: [Amsterdam, airportLocatedIn, Haarlemmermeer]
-
A.
Amstel River
The Amstel River is a historic waterway in the Netherlands that flows through and gives its name to the city of Amsterdam.
-
B.
Rhine–Meuse–Scheldt delta
The Rhine–Meuse–Scheldt delta is a vast low-lying river delta in the Netherlands and Belgium where the Rhine, Meuse, and Scheldt rivers empty into the North Sea, forming one of Europe’s most important and heavily engineered estuarine systems.
-
C.
Sacandaga River
The Sacandaga River is a major river in upstate New York that drains the southern Adirondacks and flows into the Hudson River, historically important for logging, power generation, and recreation.
-
D.
Keizersgracht
Keizersgracht is one of Amsterdam’s main historic canals, renowned for its grand 17th-century canal houses and central role in the city’s UNESCO-listed canal belt.
-
E.
Baltic Sea
The Baltic Sea is a brackish inland sea in Northern Europe bordered by countries such as Sweden, Finland, Russia, and Poland, known for its low salinity, busy shipping routes, and environmental sensitivity.
- 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: Haarlemmermeer Target entity description: Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
-
A.
Amstel River
The Amstel River is a historic waterway in the Netherlands that flows through and gives its name to the city of Amsterdam.
-
B.
Rhine–Meuse–Scheldt delta
The Rhine–Meuse–Scheldt delta is a vast low-lying river delta in the Netherlands and Belgium where the Rhine, Meuse, and Scheldt rivers empty into the North Sea, forming one of Europe’s most important and heavily engineered estuarine systems.
-
C.
Sacandaga River
The Sacandaga River is a major river in upstate New York that drains the southern Adirondacks and flows into the Hudson River, historically important for logging, power generation, and recreation.
-
D.
Keizersgracht
Keizersgracht is one of Amsterdam’s main historic canals, renowned for its grand 17th-century canal houses and central role in the city’s UNESCO-listed canal belt.
-
E.
Baltic Sea
The Baltic Sea is a brackish inland sea in Northern Europe bordered by countries such as Sweden, Finland, Russia, and Poland, known for its low salinity, busy shipping routes, and environmental sensitivity.
- F. None of above. chosen
Statements (51)
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: Haarlemmermeer Description of subject: Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
Referenced by (127)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Haarlemmermeer lake
subject surface form:
Haarlem
this entity surface form:
Haarlemmermeer polder
this entity surface form:
Haarlemmermeerpolder
this entity surface form:
Haarlemmermeer polder
this entity surface form:
Ringvaart of the Haarlemmermeer polder
municipal council of Haarlemmermeer
→
locatedInTheAdministrativeTerritorialEntity
→
Haarlemmermeer
ⓘ
this entity surface form:
Haarlemmermeer polder
subject surface form:
Cruquius Pumping Station
this entity surface form:
Ringvaart of the Haarlemmermeer
this entity surface form:
Haarlemmermeer polder
this entity surface form:
Haarlemmermeer polder
this entity surface form:
Haarlemmermeer, North Holland, Netherlands