Quanzhou Jinjiang International Airport
E426402
Quanzhou Jinjiang International Airport is a regional airport in Fujian Province, China, serving the cities of Quanzhou and Jinjiang with domestic and limited international flights.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Quanzhou Jinjiang International Airport canonical | 2 |
| Jinjiang Airport | 1 |
| Quanzhou Jinjiang International Airport Co., Ltd. | 1 |
| 泉州晋江国际机场 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4283353 — 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: Quanzhou Jinjiang International Airport Context triple: [Quanzhou, hasAirport, Quanzhou Jinjiang International Airport]
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A.
Xiamen Gaoqi International Airport
Xiamen Gaoqi International Airport is a major international airport in Xiamen, Fujian Province, China, serving as a key regional aviation gateway.
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B.
Fuzhou Changle International Airport
Fuzhou Changle International Airport is a major international airport serving Fuzhou in China’s Fujian Province and an important regional hub for both domestic and international flights.
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C.
Beihai Fucheng Airport
Beihai Fucheng Airport is a regional civil airport serving the coastal city of Beihai in Guangxi, China, providing domestic flights and connections to major Chinese cities.
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D.
Haikou Meilan International Airport
Haikou Meilan International Airport is the main international airport serving Haikou, the capital of China’s Hainan Province, and a key aviation hub for the island’s tourism and commerce.
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E.
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.
- 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: Quanzhou Jinjiang International Airport Target entity description: Quanzhou Jinjiang International Airport is a regional airport in Fujian Province, China, serving the cities of Quanzhou and Jinjiang with domestic and limited international flights.
-
A.
Xiamen Gaoqi International Airport
Xiamen Gaoqi International Airport is a major international airport in Xiamen, Fujian Province, China, serving as a key regional aviation gateway.
-
B.
Fuzhou Changle International Airport
Fuzhou Changle International Airport is a major international airport serving Fuzhou in China’s Fujian Province and an important regional hub for both domestic and international flights.
-
C.
Beihai Fucheng Airport
Beihai Fucheng Airport is a regional civil airport serving the coastal city of Beihai in Guangxi, China, providing domestic flights and connections to major Chinese cities.
-
D.
Haikou Meilan International Airport
Haikou Meilan International Airport is the main international airport serving Haikou, the capital of China’s Hainan Province, and a key aviation hub for the island’s tourism and commerce.
-
E.
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.
- F. None of above. chosen
Statements (30)
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: Quanzhou Jinjiang International Airport Description of subject: Quanzhou Jinjiang International Airport is a regional airport in Fujian Province, China, serving the cities of Quanzhou and Jinjiang with domestic and limited international flights.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
Quanzhou Jinjiang International Airport
→
operator
→
Quanzhou Jinjiang International Airport Co., Ltd.
ⓘ
linked to: Quanzhou Jinjiang International Airport
linked to: Quanzhou Jinjiang International Airport
linked to: Quanzhou Jinjiang International Airport