Xi'an Xianyang International Airport
E137857
Xi'an Xianyang International Airport is a major international aviation hub in northwest China serving the city of Xi'an and the surrounding Shaanxi region.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Xi'an Xianyang International Airport canonical | 20 |
| Xi’an Xianyang International Airport | 2 |
| Xi'an Xianyang International Airport authority | 1 |
| 西安咸阳国际机场 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1207249 — 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: Xi'an Xianyang International Airport Context triple: [Xi'an, hasAirport, Xi'an Xianyang International Airport]
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A.
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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B.
Shenyang Taoxian International Airport
Shenyang Taoxian International Airport is the main international airport serving Shenyang and the surrounding region in northeastern China.
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C.
Beijing Capital International Airport
Beijing Capital International Airport is the main international gateway to China’s capital and one of the busiest airports in the world by passenger traffic.
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D.
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.
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E.
Hefei Xinqiao International Airport
Hefei Xinqiao International Airport is the main commercial aviation hub serving Hefei and the surrounding region in Anhui Province, China.
- 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: Xi'an Xianyang International Airport Target entity description: Xi'an Xianyang International Airport is a major international aviation hub in northwest China serving the city of Xi'an and the surrounding Shaanxi region.
-
A.
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.
-
B.
Shenyang Taoxian International Airport
Shenyang Taoxian International Airport is the main international airport serving Shenyang and the surrounding region in northeastern China.
-
C.
Beijing Capital International Airport
Beijing Capital International Airport is the main international gateway to China’s capital and one of the busiest airports in the world by passenger traffic.
-
D.
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.
-
E.
Hefei Xinqiao International Airport
Hefei Xinqiao International Airport is the main commercial aviation hub serving Hefei and the surrounding region in Anhui Province, China.
- F. None of above. chosen
Statements (45)
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: Xi'an Xianyang International Airport Description of subject: Xi'an Xianyang International Airport is a major international aviation hub in northwest China serving the city of Xi'an and the surrounding Shaanxi region.
Referenced by (24)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
X’ian, China
linked to: Xi'an Xianyang International Airport
subject linked to:
CEA
subject linked to:
Xianyang, China
linked to: Xi'an Xianyang International Airport
subject linked to:
Xianyang, China
linked to: Xi'an Xianyang International Airport
subject linked to:
Terminal 1
subject linked to:
Terminal 2
subject linked to:
Terminal 3
Terminal 3 (Xi'an Xianyang International Airport)
→
locatedIn
→
Xi'an Xianyang International Airport
ⓘ
subject linked to:
Terminal 3
Terminal 3 (Xi'an Xianyang International Airport)
→
operator
→
Xi'an Xianyang International Airport authority
ⓘ
subject linked to:
Terminal 3
linked to: Xi'an Xianyang International Airport