Milan Malpensa Airport
E35167
Milan Malpensa Airport is a major international airport serving the Milan metropolitan area in northern Italy and one of the country’s busiest air transport hubs.
All labels observed (7)
| Label | Occurrences |
|---|---|
| Milan Malpensa Airport canonical | 35 |
| Malpensa Airport | 3 |
| Aeroporto di Milano-Malpensa | 2 |
| Malpensa Terminal 1 | 2 |
| Malpensa Terminal 2 | 2 |
| Malpensa Cargo City | 1 |
| Milan–Malpensa Airport | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T268664 — 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: Milan Malpensa Airport Context triple: [Lake Como, nearbyAirport, Milan Malpensa Airport]
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A.
Milan Bergamo Airport
Milan Bergamo Airport is a major low-cost international airport in northern Italy that serves the Milan metropolitan area and is a key base for Ryanair’s European operations.
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B.
Leonardo da Vinci–Fiumicino Airport
Leonardo da Vinci–Fiumicino Airport is Italy’s largest and busiest international airport, serving as the primary air gateway to Rome and a major hub for global travel.
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C.
Nikola Tesla International Airport
Nikola Tesla International Airport is the main international airport serving Belgrade, Serbia, named in honor of the renowned inventor and electrical engineer Nikola Tesla.
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D.
Ciampino–G. B. Pastine International Airport
Ciampino–G. B. Pastine International Airport is one of Rome’s main airports, serving primarily low-cost and charter flights and located southeast of the city center.
-
E.
Geneva Airport
Geneva Airport is a major international airport in western Switzerland serving the city of Geneva and the surrounding region, including access to the Alps and neighboring France.
- 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: Milan Malpensa Airport Target entity description: Milan Malpensa Airport is a major international airport serving the Milan metropolitan area in northern Italy and one of the country’s busiest air transport hubs.
-
A.
Milan Bergamo Airport
Milan Bergamo Airport is a major low-cost international airport in northern Italy that serves the Milan metropolitan area and is a key base for Ryanair’s European operations.
-
B.
Leonardo da Vinci–Fiumicino Airport
Leonardo da Vinci–Fiumicino Airport is Italy’s largest and busiest international airport, serving as the primary air gateway to Rome and a major hub for global travel.
-
C.
Nikola Tesla International Airport
Nikola Tesla International Airport is the main international airport serving Belgrade, Serbia, named in honor of the renowned inventor and electrical engineer Nikola Tesla.
-
D.
Ciampino–G. B. Pastine International Airport
Ciampino–G. B. Pastine International Airport is one of Rome’s main airports, serving primarily low-cost and charter flights and located southeast of the city center.
-
E.
Geneva Airport
Geneva Airport is a major international airport in western Switzerland serving the city of Geneva and the surrounding region, including access to the Alps and neighboring France.
- F. None of above. chosen
Statements (48)
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: Milan Malpensa Airport Description of subject: Milan Malpensa Airport is a major international airport serving the Milan metropolitan area in northern Italy and one of the country’s busiest air transport hubs.
Referenced by (46)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Lake Como, Italy
linked to: Milan Malpensa Airport
linked to: Milan Malpensa Airport
subject linked to:
LIME
subject linked to:
MXP
linked to: Milan Malpensa Airport
linked to: Milan Malpensa Airport
linked to: Milan Malpensa Airport
linked to: Milan Malpensa Airport
linked to: Milan Malpensa Airport
linked to: Milan Malpensa Airport
linked to: Milan Malpensa Airport
subject linked to:
Terminal 1
subject linked to:
Terminal 1
linked to: Milan Malpensa Airport
subject linked to:
Terminal 2
subject linked to:
Terminal 2
subject linked to:
LIN
subject linked to:
Vergiate, Italy