Nuremberg Airport
E84051
Nuremberg Airport is an international airport in northern Bavaria, Germany, serving the city of Nuremberg and the surrounding Franconia region with passenger and cargo flights.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Nuremberg Airport canonical | 14 |
| Flughafen Nürnberg | 3 |
| Albrecht Dürer Airport Nuremberg | 1 |
| Flughafen Nürnberg GmbH | 1 |
| Nuremberg International Airport | 1 |
| Nürnberg Flughafen station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T678135 — 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: Nuremberg Airport Context triple: [Nuremberg, hasAirport, Nuremberg Airport]
-
A.
Hamburg Airport
Hamburg Airport is an international airport in northern Germany serving the city of Hamburg and the surrounding region as a major passenger and cargo hub.
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B.
Berlin Brandenburg Airport
Berlin Brandenburg Airport is the main international airport serving Germany’s capital region, designed to replace and consolidate Berlin’s former commercial airports.
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C.
Tempelhof Airport
Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
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D.
Tegel
Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
-
E.
Vienna International Airport
Vienna International Airport is Austria’s largest and busiest airport, serving as the primary international gateway to Vienna and a major hub for Central and Eastern Europe.
- 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: Nuremberg Airport Target entity description: Nuremberg Airport is an international airport in northern Bavaria, Germany, serving the city of Nuremberg and the surrounding Franconia region with passenger and cargo flights.
-
A.
Hamburg Airport
Hamburg Airport is an international airport in northern Germany serving the city of Hamburg and the surrounding region as a major passenger and cargo hub.
-
B.
Berlin Brandenburg Airport
Berlin Brandenburg Airport is the main international airport serving Germany’s capital region, designed to replace and consolidate Berlin’s former commercial airports.
-
C.
Tempelhof Airport
Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
-
D.
Tegel
Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
-
E.
Vienna International Airport
Vienna International Airport is Austria’s largest and busiest airport, serving as the primary international gateway to Vienna and a major hub for Central and Eastern Europe.
- F. None of above. chosen
Statements (49)
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: Nuremberg Airport Description of subject: Nuremberg Airport is an international airport in northern Bavaria, Germany, serving the city of Nuremberg and the surrounding Franconia region with passenger and cargo flights.
Referenced by (21)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Flughafen Nürnberg
subject surface form:
U2 (Nuremberg U-Bahn)
this entity surface form:
Nürnberg Flughafen station
this entity surface form:
Flughafen Nürnberg GmbH
this entity surface form:
Albrecht Dürer Airport Nuremberg
this entity surface form:
Flughafen Nürnberg
this entity surface form:
Flughafen Nürnberg
this entity surface form:
Nuremberg International Airport
subject surface form:
Terminal 1 (Nuremberg Airport)