Domodedovo
E40627
Domodedovo is a town in Moscow Oblast, Russia, known primarily for hosting one of the Moscow region’s major international airports.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Domodedovo canonical | 10 |
| Domodedovo railway station | 2 |
| Domodedovo town | 1 |
| Domodedovo, Moscow Oblast, Russia | 1 |
| town of Domodedovo | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T316275 — 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: Domodedovo Context triple: [Domodedovo International Airport, locatedIn, Domodedovo]
-
A.
Domodedovo International Airport
Domodedovo International Airport is one of Moscow’s major international airports and a key air transport hub in Russia.
-
B.
Sheremetyevo International Airport
Sheremetyevo International Airport is one of Russia’s largest and busiest airports, serving as a major international gateway to Moscow and a key hub for Aeroflot.
-
C.
Vnukovo International Airport
Vnukovo International Airport is one of Moscow’s major international airports, serving as a key hub for both domestic and international flights in Russia.
-
D.
Zhukovsky International Airport
Zhukovsky International Airport is a Russian international airport serving the Moscow region, known for its role in both civil aviation and aerospace-related activities.
-
E.
Sphinx International Airport
Sphinx International Airport is a relatively new Egyptian airport located near the Giza pyramids, serving the western side of Greater Cairo and aiming to ease congestion at Cairo International Airport and boost tourism.
- 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: Domodedovo Target entity description: Domodedovo is a town in Moscow Oblast, Russia, known primarily for hosting one of the Moscow region’s major international airports.
-
A.
Domodedovo International Airport
Domodedovo International Airport is one of Moscow’s major international airports and a key air transport hub in Russia.
-
B.
Sheremetyevo International Airport
Sheremetyevo International Airport is one of Russia’s largest and busiest airports, serving as a major international gateway to Moscow and a key hub for Aeroflot.
-
C.
Vnukovo International Airport
Vnukovo International Airport is one of Moscow’s major international airports, serving as a key hub for both domestic and international flights in Russia.
-
D.
Zhukovsky International Airport
Zhukovsky International Airport is a Russian international airport serving the Moscow region, known for its role in both civil aviation and aerospace-related activities.
-
E.
Sphinx International Airport
Sphinx International Airport is a relatively new Egyptian airport located near the Giza pyramids, serving the western side of Greater Cairo and aiming to ease congestion at Cairo International Airport and boost tourism.
- F. None of above. chosen
Statements (36)
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: Domodedovo Description of subject: Domodedovo is a town in Moscow Oblast, Russia, known primarily for hosting one of the Moscow region’s major international airports.
Referenced by (15)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Domodedovo
linked to: Domodedovo
linked to: Domodedovo
linked to: Domodedovo
linked to: Domodedovo