Runway 17L/35R
E717708
Runway 17L/35R is one of the primary paved runways used for commercial air traffic operations at Milan Malpensa Airport in Italy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 17L/35R canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7949319 — 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 17L/35R Context triple: [Milan Malpensa Airport, hasRunway, Runway 17L/35R]
-
A.
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.
-
B.
Runway 17L/35R
Runway 17L/35R is one of the primary paved runways at Orlando International Airport, used for handling both commercial and general aviation traffic.
-
C.
Runway 17L/35R
Runway 17L/35R is a primary paved runway at North Texas Regional Airport used for general aviation and regional air traffic operations.
-
D.
Runway 17L/35R
Runway 17L/35R is one of the main paved runways at Congonhas–São Paulo Airport, used for intensive domestic air traffic operations in São Paulo, Brazil.
-
E.
Runway 17L/35R
Runway 17L/35R is a designated paved runway at Grayson County Airport used for aircraft takeoffs and landings along a roughly north–south orientation.
- 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 17L/35R Target entity description: Runway 17L/35R is one of the primary paved runways used for commercial air traffic operations at Milan Malpensa Airport in Italy.
-
A.
Runway 17L/35R
Runway 17L/35R is one of the primary paved runways at Orlando International Airport, used for handling both commercial and general aviation traffic.
-
B.
Runway 17L/35R
Runway 17L/35R is a primary paved runway at North Texas Regional Airport used for general aviation and regional air traffic operations.
-
C.
Runway 17L/35R
Runway 17L/35R is one of the main paved runways at Congonhas–São Paulo Airport, used for intensive domestic air traffic operations in São Paulo, Brazil.
-
D.
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.
-
E.
Runway 17L/35R
Runway 17L/35R is a designated paved runway at Grayson County Airport used for aircraft takeoffs and landings along a roughly north–south orientation.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ |
| belongsToAirport | Milan Malpensa Airport NERFINISHED ⓘ |
| cityServedByAirport | Milan NERFINISHED ⓘ |
| continent | Europe ⓘ |
| country | Italy ⓘ |
| hasIATAAirportCode | MXP NERFINISHED ⓘ |
| hasICAOAirportCode | LIMC NERFINISHED ⓘ |
| hasLightingSystem | runway edge lights ⓘ |
| hasMarkings | instrument runway markings ⓘ |
| hasParallelRunway | Runway 17R/35L NERFINISHED ⓘ |
| hasRunwayDesignation |
17L
ⓘ
35R ⓘ |
| isPrimaryRunwayOf | Milan Malpensa Airport NERFINISHED ⓘ |
| locatedIn |
Italy
ⓘ
Milan Malpensa Airport NERFINISHED ⓘ |
| orientation |
approximately 170 degrees magnetic
ⓘ
approximately 350 degrees magnetic ⓘ |
| partOf | runway system of Milan Malpensa Airport ⓘ |
| runwaySide |
left for direction 17
ⓘ
right for direction 35 ⓘ |
| servesTrafficType | commercial air traffic ⓘ |
| surfaceType | asphalt ⓘ |
| usedFor |
landing operations
ⓘ
takeoff operations ⓘ |
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 17L/35R Description of subject: Runway 17L/35R is one of the primary paved runways used for commercial air traffic operations at Milan Malpensa Airport in Italy.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.