Runway 11L/29R
E110243
Runway 11L/29R is one of the primary paved runways at Indira Gandhi International Airport in Delhi, India, used for handling high volumes of domestic and international air traffic.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 11L/29R canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T867738 — 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 11L/29R Context triple: [Indira Gandhi International Airport, hasRunway, Runway 11L/29R]
-
A.
Runway 11R/29L
Runway 11R/29L is one of the primary operational runways at Indira Gandhi International Airport in Delhi, India, used for handling high volumes of domestic and international air traffic.
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B.
Runway 13L/31R
Runway 13L/31R is one of the primary paved runways at Chicago Midway International Airport, used for both commercial and general aviation operations.
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C.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Baltimore/Washington International Thurgood Marshall Airport, used for handling commercial air traffic in both directions.
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D.
Runway 15R/33L
Runway 15R/33L is one of the primary parallel runways at Boston Logan International Airport, used for both arrivals and departures.
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E.
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.
- 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 11L/29R Target entity description: Runway 11L/29R is one of the primary paved runways at Indira Gandhi International Airport in Delhi, India, used for handling high volumes of domestic and international air traffic.
-
A.
Runway 11R/29L
Runway 11R/29L is one of the primary operational runways at Indira Gandhi International Airport in Delhi, India, used for handling high volumes of domestic and international air traffic.
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B.
Runway 13L/31R
Runway 13L/31R is one of the primary paved runways at Chicago Midway International Airport, used for both commercial and general aviation operations.
-
C.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Baltimore/Washington International Thurgood Marshall Airport, used for handling commercial air traffic in both directions.
-
D.
Runway 15R/33L
Runway 15R/33L is one of the primary parallel runways at Boston Logan International Airport, used for both arrivals and departures.
-
E.
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.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ |
| cityServedByAirport |
New Delhi, India
ⓘ
surface form:
New Delhi
|
| country | India ⓘ |
| handles | high volume air traffic ⓘ |
| hasRunwayDesignation |
11L
ⓘ
29R ⓘ |
| isPrimaryRunwayOf | Indira Gandhi International Airport ⓘ |
| locatedIn |
Delhi
ⓘ
India ⓘ Indira Gandhi International Airport ⓘ |
| partOf | runway system of Indira Gandhi International Airport ⓘ |
| surfaceType | asphalt ⓘ |
| usedFor |
domestic air traffic
ⓘ
international air traffic ⓘ |
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 11L/29R Description of subject: Runway 11L/29R is one of the primary paved runways at Indira Gandhi International Airport in Delhi, India, used for handling high volumes of domestic and international air traffic.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.