Kunming Changshui International Airport
E162772
Kunming Changshui International Airport is a major international aviation hub in southwest China serving the city of Kunming and the wider Yunnan province.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Kunming Changshui International Airport canonical | 21 |
| Kunming Wujiaba International Airport | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1419246 — 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: Kunming Changshui International Airport Context triple: [China Eastern Airlines, hubAirport, Kunming Changshui International Airport]
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A.
Hangzhou Xiaoshan International Airport
Hangzhou Xiaoshan International Airport is a major airport serving Hangzhou and the Yangtze River Delta region in eastern China, handling extensive domestic and international passenger and cargo traffic.
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B.
Wuhan Tianhe International Airport
Wuhan Tianhe International Airport is a major aviation hub in central China serving the city of Wuhan with extensive domestic and international flight connections.
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C.
Yao Airport
Yao Airport is a regional airport in Yao, Osaka Prefecture, Japan, primarily serving general aviation, flight training, and emergency services rather than major commercial airline traffic.
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D.
Guangzhou Baiyun International Airport
Guangzhou Baiyun International Airport is a major international aviation hub in southern China serving the city of Guangzhou and the broader Pearl River Delta region.
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E.
Shanghai Hongqiao International Airport
Shanghai Hongqiao International Airport is one of Shanghai’s main airports, serving primarily domestic and regional flights and located closer to the city center than Shanghai Pudong 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: Kunming Changshui International Airport Target entity description: Kunming Changshui International Airport is a major international aviation hub in southwest China serving the city of Kunming and the wider Yunnan province.
-
A.
Hangzhou Xiaoshan International Airport
Hangzhou Xiaoshan International Airport is a major airport serving Hangzhou and the Yangtze River Delta region in eastern China, handling extensive domestic and international passenger and cargo traffic.
-
B.
Wuhan Tianhe International Airport
Wuhan Tianhe International Airport is a major aviation hub in central China serving the city of Wuhan with extensive domestic and international flight connections.
-
C.
Yao Airport
Yao Airport is a regional airport in Yao, Osaka Prefecture, Japan, primarily serving general aviation, flight training, and emergency services rather than major commercial airline traffic.
-
D.
Guangzhou Baiyun International Airport
Guangzhou Baiyun International Airport is a major international aviation hub in southern China serving the city of Guangzhou and the broader Pearl River Delta region.
-
E.
Shanghai Hongqiao International Airport
Shanghai Hongqiao International Airport is one of Shanghai’s main airports, serving primarily domestic and regional flights and located closer to the city center than Shanghai Pudong International Airport.
- F. None of above. chosen
Statements (48)
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: Kunming Changshui International Airport Description of subject: Kunming Changshui International Airport is a major international aviation hub in southwest China serving the city of Kunming and the wider Yunnan province.
Referenced by (22)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Kunming, China
subject linked to:
Kunming, China
linked to: Kunming Changshui International Airport
subject linked to:
CEA
subject linked to:
KY
subject linked to:
KY