Runway 12L/30R
E545818
Runway 12L/30R is a primary paved runway used for aircraft takeoffs and landings at Montpellier-Méditerranée Airport in southern France.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 12L/30R canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4526311 — 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 12L/30R Context triple: [Montpellier-Méditerranée Airport, hasRunway, Runway 12L/30R]
-
A.
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.
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B.
Runway 12R/30L
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.
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C.
Runway 12R/30L
Runway 12R/30L is a primary paved runway at San Jose International Airport used for commercial and general aviation takeoffs and landings.
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D.
Runway 12R/30L
Runway 12R/30L is a principal paved runway used for military and aviation operations at Zaragoza Air Base in Spain.
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E.
Runway 12R/30L
Runway 12R/30L is a primary paved runway used for aircraft takeoffs and landings at Bahrain International Airport.
- 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 12L/30R Target entity description: Runway 12L/30R is a primary paved runway used for aircraft takeoffs and landings at Montpellier-Méditerranée Airport in southern France.
-
A.
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.
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B.
Runway 12R/30L
Runway 12R/30L is a principal paved runway used for military and aviation operations at Zaragoza Air Base in Spain.
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C.
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.
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D.
Runway 12R/30L
Runway 12R/30L is a primary paved runway at San Jose International Airport used for commercial and general aviation takeoffs and landings.
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E.
Runway 12R/30L
Runway 12R/30L is a primary paved runway used for aircraft takeoffs and landings at Bahrain International Airport.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ transport infrastructure ⓘ |
| associatedWith |
Montpellier air traffic control
ⓘ
linked to:
Montpellier-Méditerranée Airport
|
| country | France ⓘ |
| hasLighting | runway lighting system ⓘ |
| hasMarkings |
runway centerline markings
ⓘ
runway designation markings ⓘ runway threshold markings ⓘ |
| hasRunwayDesignation |
12L
ⓘ
30R ⓘ |
| hasRunwayNumber |
12
ⓘ
30 ⓘ |
| hasSideDesignator |
L
ⓘ
R ⓘ |
| infrastructureType | runway ⓘ |
| isPrimaryRunwayOf | Montpellier-Méditerranée Airport ⓘ |
| locatedIn |
Hérault department
ⓘ
linked to:
Hérault
Mauguio ⓘ Montpellier-Méditerranée Airport ⓘ Occitanie region ⓘ
linked to:
Occitanie
southern France ⓘ
linked to:
Southern France
|
| partOf |
runway system of Montpellier-Méditerranée Airport
ⓘ
linked to:
Montpellier-Méditerranée Airport
|
| runwayOrientation |
approximately 120 degrees magnetic
ⓘ
approximately 300 degrees magnetic ⓘ |
| serves |
commercial air traffic at Montpellier-Méditerranée Airport
ⓘ
general aviation traffic at Montpellier-Méditerranée Airport ⓘ |
| supports |
instrument flight operations (IFR)
ⓘ
visual flight operations (VFR) ⓘ |
| surfaceType | asphalt ⓘ |
| usedFor |
aircraft landings
ⓘ
aircraft takeoffs ⓘ |
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 12L/30R Description of subject: Runway 12L/30R is a primary paved runway used for aircraft takeoffs and landings at Montpellier-Méditerranée Airport in southern France.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.