Runway 17R/35L
E720064
Runway 17R/35L is a primary paved runway at Milan Malpensa Airport used for handling commercial air traffic operations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 17R/35L canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7949320 — 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 17R/35L Context triple: [Milan Malpensa Airport, hasRunway, Runway 17R/35L]
-
A.
Runway 17R/35L
Runway 17R/35L is one of the main paved runways at Congonhas–São Paulo Airport in Brazil, used for intensive domestic commercial air traffic in the city of São Paulo.
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B.
Runway 17R/35L
Runway 17R/35L is a principal paved runway used for commercial air traffic operations at Lyon–Saint-Exupéry Airport in France.
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C.
Runway 17R/35L
Runway 17R/35L is a primary north–south runway used for commercial air traffic operations at Orlando International Airport in Orlando, Florida.
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D.
Runway 17R/35L
Runway 17R/35L is one of the primary north–south runways at Denver International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
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E.
Runway 17L/35R
Runway 17L/35R is one of the main paved runways at Lyon–Saint-Exupéry Airport in France, 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 17R/35L Target entity description: Runway 17R/35L is a primary paved runway at Milan Malpensa Airport used for handling commercial air traffic operations.
-
A.
Runway 17R/35L
Runway 17R/35L is a primary north–south runway used for commercial air traffic operations at Orlando International Airport in Orlando, Florida.
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B.
Runway 17R/35L
Runway 17R/35L is one of the primary north–south runways at Denver International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
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C.
Runway 17R/35L
Runway 17R/35L is one of the main paved runways at Congonhas–São Paulo Airport in Brazil, used for intensive domestic commercial air traffic in the city of São Paulo.
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D.
Runway 17R/35L
Runway 17R/35L is a principal paved runway used for commercial air traffic operations at Lyon–Saint-Exupéry Airport in France.
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E.
Runway 17L/35R
Runway 17L/35R is one of the main paved runways at Lyon–Saint-Exupéry Airport in France, used for both domestic and international air traffic operations.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ |
| country | Italy ⓘ |
| hasIcaoAirportCode | LIMC NERFINISHED ⓘ |
| hasLightingSystem |
runway edge lights
ⓘ
runway end identifier lights ⓘ runway threshold lights ⓘ |
| hasMarkings |
runway centerline markings
ⓘ
runway designation markings ⓘ runway threshold markings ⓘ |
| hasRunwayDesignation |
17R
ⓘ
35L ⓘ |
| isParallelTo | Runway 17L/35R NERFINISHED ⓘ |
| isPrimaryRunwayOf | Milan Malpensa Airport NERFINISHED ⓘ |
| locatedIn | Milan Malpensa Airport NERFINISHED ⓘ |
| orientation |
approximately 170 degrees
ⓘ
approximately 350 degrees ⓘ |
| partOf | runway system of Milan Malpensa Airport ⓘ |
| roleAtAirport | primary runway for commercial operations ⓘ |
| runwaySide |
left for direction 35
ⓘ
right for direction 17 ⓘ |
| serves | commercial air traffic ⓘ |
| servesCity | Milan NERFINISHED ⓘ |
| supportsOperationType |
IFR operations
ⓘ
VFR operations ⓘ |
| surfaceType | asphalt ⓘ |
| usedBy |
cargo aircraft
ⓘ
passenger aircraft ⓘ |
| usedFor |
instrument flight operations
ⓘ
landing ⓘ takeoff ⓘ |
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 17R/35L Description of subject: Runway 17R/35L is a primary paved runway at Milan Malpensa Airport used for handling commercial air traffic operations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.