Runway 06R/24L
E263920
Runway 06R/24L is one of the primary paved runways at Sheremetyevo International Airport in Moscow, used for handling both domestic and international air traffic.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 06R/24L canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1946874 — 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 06R/24L Context triple: [Sheremetyevo International Airport, hasRunway, Runway 06R/24L]
-
A.
Runway 06R/24L
Runway 06R/24L is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
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B.
Runway 06R/24L
Runway 06R/24L is one of the primary paved runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
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C.
Runway 06L/24R
Runway 06L/24R is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
-
D.
Runway 06L/24R
Runway 06L/24R is one of the primary parallel runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
-
E.
Runway 06C/24C
Runway 06C/24C is one of the main paved runways at Sheremetyevo International Airport in Moscow, used for handling both domestic and international air traffic.
- 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 06R/24L Target entity description: Runway 06R/24L is one of the primary paved runways at Sheremetyevo International Airport in Moscow, used for handling both domestic and international air traffic.
-
A.
Runway 06R/24L
Runway 06R/24L is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
-
B.
Runway 06R/24L
Runway 06R/24L is one of the primary paved runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
-
C.
Runway 06L/24R
Runway 06L/24R is a primary paved runway at Andersen Air Force Base in Guam, used for military aircraft operations and strategic airlift missions.
-
D.
Runway 06L/24R
Runway 06L/24R is one of the primary parallel runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
-
E.
Runway 06C/24C
Runway 06C/24C is one of the main paved runways at Sheremetyevo International Airport in Moscow, used for handling both domestic and international air traffic.
- F. None of above. chosen
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ |
| hasFunction |
aircraft landing
ⓘ
aircraft takeoff ⓘ |
| hasRunwayDesignation |
06R
ⓘ
24L ⓘ |
| hasSurfaceType | paved ⓘ |
| isPrimaryRunwayOf | Sheremetyevo International Airport ⓘ |
| locatedIn |
Moscow
ⓘ
Russia ⓘ Sheremetyevo International Airport ⓘ |
| partOf | runway system of Sheremetyevo International Airport ⓘ |
| usedFor |
domestic air traffic
ⓘ
international air traffic ⓘ |
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 06R/24L Description of subject: Runway 06R/24L is one of the primary paved runways at Sheremetyevo International Airport in Moscow, used for handling both domestic and international air traffic.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.