Runway 14R/32L
E40630
Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 14R/32L canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T316285 — 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: Runway 14R/32L Context triple: [Domodedovo International Airport, runway, Runway 14R/32L]
-
A.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Baltimore/Washington International Thurgood Marshall Airport, used for handling commercial air traffic in both directions.
-
B.
Runway 10L/28R
Runway 10L/28R is one of the primary parallel runways at San Francisco International Airport, used extensively for both arrivals and departures.
-
C.
Runway 15/33
Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
-
D.
Runway 10/28
Runway 10/28 is a principal paved runway at José Martí International Airport in Havana, Cuba, used for handling a significant share of the airport’s commercial air traffic.
-
E.
Runway 8/26
Runway 8/26 is a primary paved runway at Mojave Air and Space Port used for aircraft operations and aerospace testing activities.
- 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: Runway 14R/32L Target entity description: Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
-
A.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Baltimore/Washington International Thurgood Marshall Airport, used for handling commercial air traffic in both directions.
-
B.
Runway 10L/28R
Runway 10L/28R is one of the primary parallel runways at San Francisco International Airport, used extensively for both arrivals and departures.
-
C.
Runway 15/33
Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
-
D.
Runway 10/28
Runway 10/28 is a principal paved runway at José Martí International Airport in Havana, Cuba, used for handling a significant share of the airport’s commercial air traffic.
-
E.
Runway 8/26
Runway 8/26 is a primary paved runway at Mojave Air and Space Port used for aircraft operations and aerospace testing activities.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
commercial aviation infrastructure ⓘ paved runway ⓘ |
| airport |
Moscow Domodedovo International Airport
ⓘ
linked to:
Domodedovo International Airport
|
| category | runway for scheduled airline operations ⓘ |
| country | Russia ⓘ |
| hasParallelRunway | Runway 14L/32R ⓘ |
| IATAAirportCode | DME ⓘ |
| ICAOAirportCode | UUDD ⓘ |
| infrastructureType | airfield infrastructure element ⓘ |
| locatedIn |
Domodedovo, Moscow Oblast, Russia
ⓘ
linked to:
Domodedovo
Moscow Domodedovo International Airport ⓘ
linked to:
Domodedovo International Airport
|
| orientation |
approximately 140 degrees magnetic
ⓘ
approximately 320 degrees magnetic ⓘ |
| partOf | runway system of Moscow Domodedovo International Airport ⓘ |
| role | primary runway at Moscow Domodedovo International Airport ⓘ |
| runwayDesignation |
14R
ⓘ
32L ⓘ |
| servesCity | Moscow ⓘ |
| surfaceType | paved ⓘ |
| trafficType |
instrument flight rules operations
ⓘ
jet aircraft operations ⓘ |
| usedFor |
cargo flights
ⓘ
commercial air traffic ⓘ passenger flights ⓘ |
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: Runway 14R/32L Description of subject: Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.