Runway 04L/22R
E92200
Runway 04L/22R is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling high volumes of commercial air traffic.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Runway 04L/22R canonical | 1 |
| Runway 04R/22L | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T750468 — 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 04L/22R Context triple: [O'Hare International Airport, hasRunway, Runway 04L/22R]
-
A.
Runway 04L/22R
Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
-
B.
Runway 4R/22L
Runway 4R/22L is one of the primary paved runways at Boston Logan International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
C.
Runway 4L/22R
Runway 4L/22R is one of the primary runways at Chicago Midway International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
D.
Runway 04/22
Runway 04/22 is one of LaGuardia Airport’s primary runways, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
E.
Runway 05L/23R
Runway 05L/23R is one of the main parallel runways at Manchester Airport, used for handling a high volume of commercial 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 04L/22R Target entity description: Runway 04L/22R is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling high volumes of commercial air traffic.
-
A.
Runway 04L/22R
Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
-
B.
Runway 4R/22L
Runway 4R/22L is one of the primary paved runways at Boston Logan International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
C.
Runway 4L/22R
Runway 4L/22R is one of the primary runways at Chicago Midway International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
D.
Runway 04/22
Runway 04/22 is one of LaGuardia Airport’s primary runways, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
E.
Runway 05L/23R
Runway 05L/23R is one of the main parallel runways at Manchester Airport, used for handling a high volume of commercial air traffic.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
parallel runway ⓘ |
| belongsTo | Chicago Department of Aviation ⓘ |
| cityServed |
Chicago
ⓘ
linked to:
City of Chicago
|
| country |
United States
ⓘ
linked to:
United States of America
|
| hasFunction |
arrival operations
ⓘ
departure operations ⓘ |
| hasIATACodeOfAirport | ORD ⓘ |
| hasOrientation | northeast–southwest ⓘ |
| hasRole | primary runway at O'Hare ⓘ |
| hasRunwayDesignation |
04L
ⓘ
22R ⓘ |
| hasSurfaceType |
asphalt or concrete
ⓘ
paved ⓘ |
| isParallelTo | Runway 04R/22L ⓘ |
| isPartOf | O'Hare runway system ⓘ |
| locatedIn |
Chicago O'Hare International Airport
ⓘ
linked to:
O'Hare International Airport
Chicago, Illinois ⓘ
linked to:
Chicago, Illinois, United States
United States ⓘ
linked to:
United States of America
|
| partOf | O'Hare parallel runway configuration ⓘ |
| servesAirport | ORD ⓘ |
| state | Illinois ⓘ |
| supports | high volume operations ⓘ |
| trafficType |
airline operations
ⓘ
commercial ⓘ |
| usedBy |
domestic flights
ⓘ
international flights ⓘ |
| 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 04L/22R Description of subject: Runway 04L/22R is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling high volumes of commercial air traffic.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Runway 04L/22R