Runway 12R/30L
E176567
Runway 12R/30L is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for handling a significant share of the airport’s commercial air traffic.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Runway 12L/30R | 1 |
| Runway 12R | 1 |
| Runway 12R/30L canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1537201 — 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 12R/30L Context triple: [Minneapolis–Saint Paul International Airport, hasRunway, Runway 12R/30L]
-
A.
Runway 12R/30L
Runway 12R/30L is one of the primary paved runways used for aircraft takeoffs and landings at Nikola Tesla International Airport in Belgrade, Serbia.
-
B.
Runway 12L/30R
Runway 12L/30R is one of the primary parallel runways at San Jose International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
C.
Runway 14L/32R
Runway 14L/32R is one of the primary paved runways at Moffett Field in California, used for military, research, and general aviation operations.
-
D.
Runway 18R/36L
Runway 18R/36L is a primary paved runway used for aircraft takeoffs and landings at Gimhae International Airport in Busan, South Korea.
-
E.
Runway 14R/32L
Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling 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 12R/30L Target entity description: Runway 12R/30L is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
A.
Runway 12R/30L
Runway 12R/30L is one of the primary paved runways used for aircraft takeoffs and landings at Nikola Tesla International Airport in Belgrade, Serbia.
-
B.
Runway 12L/30R
Runway 12L/30R is one of the primary parallel runways at San Jose International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
C.
Runway 14L/32R
Runway 14L/32R is one of the primary paved runways at Moffett Field in California, used for military, research, and general aviation operations.
-
D.
Runway 18R/36L
Runway 18R/36L is a primary paved runway used for aircraft takeoffs and landings at Gimhae International Airport in Busan, South Korea.
-
E.
Runway 14R/32L
Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
- F. None of above. chosen
Statements (17)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| handlesSignificantShareOfTrafficAt | Minneapolis–Saint Paul International Airport ⓘ |
| hasRunwayDesignation |
12R
ⓘ
30L ⓘ |
| isPrimaryRunwayOf | Minneapolis–Saint Paul International Airport ⓘ |
| locatedIn | Minneapolis–Saint Paul International Airport ⓘ |
| locatedInCity |
Minneapolis
ⓘ
City of Saint Paul ⓘ
surface form:
Saint Paul
|
| locatedInState | Minnesota ⓘ |
| partOf | airfield of Minneapolis–Saint Paul International Airport ⓘ |
| serves | commercial air traffic ⓘ |
| surfaceType | paved ⓘ |
| usedFor |
airline operations
ⓘ
cargo flights ⓘ 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 12R/30L Description of subject: Runway 12R/30L is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for handling a significant share of the airport’s commercial air traffic.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Runway 12R