Runway 15/33
E790939
Runway 15/33 is a principal paved runway at Rio de Janeiro–Galeão International Airport used for handling both domestic and international air traffic.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 15/33 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8796847 — 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 15/33 Context triple: [Rio de Janeiro–Galeão International Airport, hasRunway, Runway 15/33]
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A.
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.
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B.
Runway 15/33
Runway 15/33 is one of the primary paved runways at Hamburg Airport, used for handling both domestic and international air traffic.
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C.
Runway 15/33
Runway 15/33 is a primary paved runway used for aircraft operations at Maxwell Air Force Base in Alabama.
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D.
Runway 15/33
Runway 15/33 is one of the primary paved runways used for aircraft takeoffs and landings at Kuala Lumpur International Airport in Malaysia.
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E.
Runway 15/33
Runway 15/33 is one of the main paved runways at Helsinki Airport, used for both domestic and international air traffic operations.
- 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 15/33 Target entity description: Runway 15/33 is a principal paved runway at Rio de Janeiro–Galeão International Airport used for handling both domestic and international air traffic.
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A.
Runway 15/33
Runway 15/33 is one of the primary paved runways at Hamburg Airport, used for handling both domestic and international air traffic.
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B.
Runway 15/33
Runway 15/33 is one of the main paved runways at Helsinki Airport, used for both domestic and international air traffic operations.
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C.
Runway 15/33
Runway 15/33 is the principal paved runway at Salzburg Airport, used for handling both domestic and international air traffic.
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D.
Runway 15/33
Runway 15/33 is a primary paved runway at Charleston International Airport used for commercial and military aircraft operations.
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E.
Runway 15/33
Runway 15/33 is one of the primary paved runways at Martha's Vineyard Airport, used for handling regional and general aviation traffic.
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ |
| hasIATAAirport | GIG NERFINISHED ⓘ |
| hasICAOAirport | SBGL NERFINISHED ⓘ |
| hasRunwayDesignation | 15/33 ⓘ |
| hasRunwayEnd |
Runway end 15
ⓘ
Runway end 33 ⓘ |
| isPrincipalRunwayOf | Rio de Janeiro–Galeão International Airport NERFINISHED ⓘ |
| locatedIn |
Brazil
ⓘ
Rio de Janeiro ⓘ Rio de Janeiro–Galeão International Airport NERFINISHED ⓘ State of Rio de Janeiro NERFINISHED ⓘ |
| partOf | airside infrastructure of Rio de Janeiro–Galeão International Airport ⓘ |
| surfaceType | asphalt ⓘ |
| 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 15/33 Description of subject: Runway 15/33 is a principal paved runway at Rio de Janeiro–Galeão International Airport 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.