Paris Orly Airport
E46790
Paris Orly Airport is a major international airport serving the Paris metropolitan area, located south of the city and handling a large share of its domestic and European flights.
All labels observed (10)
| Label | Occurrences |
|---|---|
| Paris Orly Airport canonical | 59 |
| Paris-Orly Airport | 23 |
| Paris–Orly Airport | 5 |
| Aéroport de Paris-Orly | 2 |
| Villeneuve-Orly Airport | 2 |
| Aéroport d’Orly | 1 |
| Newark–Paris Orly | 1 |
| Orly Airport (via Orlyval connection at Antony) | 1 |
| Paris Orly Airport terminals | 1 |
| aéroport de Paris-Orly | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T346917 — 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: Paris Orly Airport Context triple: [Île-de-France, hasMajorAirport, Paris Orly Airport]
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A.
Charles de Gaulle Airport
Charles de Gaulle Airport is the largest international airport in France and a major European aviation hub serving the Paris metropolitan area.
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B.
Roissy-en-France
Roissy-en-France is a commune in the northeastern suburbs of Paris best known for hosting most of Charles de Gaulle Airport, France’s largest international air hub.
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C.
Nice Côte d’Azur Airport
Nice Côte d’Azur Airport is a major international airport on the French Riviera serving as the primary air gateway to Nice and the surrounding Côte d’Azur region.
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D.
Brussels Airport
Brussels Airport is the main international airport serving Brussels and one of Belgium’s busiest air transport hubs for passengers and cargo.
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E.
Aéroport Charles de Gaulle 2 TGV station
Aéroport Charles de Gaulle 2 TGV station is a major high-speed rail hub integrated into Paris Charles de Gaulle Airport, providing direct TGV and other long-distance train connections to cities across France and neighboring countries.
- 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: Paris Orly Airport Target entity description: Paris Orly Airport is a major international airport serving the Paris metropolitan area, located south of the city and handling a large share of its domestic and European flights.
-
A.
Charles de Gaulle Airport
Charles de Gaulle Airport is the largest international airport in France and a major European aviation hub serving the Paris metropolitan area.
-
B.
Roissy-en-France
Roissy-en-France is a commune in the northeastern suburbs of Paris best known for hosting most of Charles de Gaulle Airport, France’s largest international air hub.
-
C.
Nice Côte d’Azur Airport
Nice Côte d’Azur Airport is a major international airport on the French Riviera serving as the primary air gateway to Nice and the surrounding Côte d’Azur region.
-
D.
Brussels Airport
Brussels Airport is the main international airport serving Brussels and one of Belgium’s busiest air transport hubs for passengers and cargo.
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E.
Aéroport Charles de Gaulle 2 TGV station
Aéroport Charles de Gaulle 2 TGV station is a major high-speed rail hub integrated into Paris Charles de Gaulle Airport, providing direct TGV and other long-distance train connections to cities across France and neighboring countries.
- 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: Paris Orly Airport Description of subject: Paris Orly Airport is a major international airport serving the Paris metropolitan area, located south of the city and handling a large share of its domestic and European flights.
Referenced by (96)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Île-de-France region
linked to: Paris Orly Airport
subject linked to:
ORY
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
subject linked to:
tramway T7
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
subject linked to:
TGV high-speed rail
subject linked to:
LFPO
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport
linked to: Paris Orly Airport