Nanning railway station
E557341
Nanning railway station is a major rail transport hub in Nanning, Guangxi, serving both conventional and high-speed train services across southern China.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Nanning railway station canonical | 3 |
| Nanning Railway Station | 1 |
| Nanning railway hub | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5886244 — 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: Nanning railway station Context triple: [Liuzhou–Nanning intercity railway, hasMajorStation, Nanning railway station]
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A.
Liuzhou railway station
Liuzhou railway station is a major rail transport hub in Liuzhou, Guangxi, China, serving both conventional and high-speed train services connecting the city with regional and national destinations.
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B.
Liuzhou North railway station
Liuzhou North railway station is a major passenger and freight rail hub serving the northern part of Liuzhou in China’s Guangxi region.
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C.
Beihai railway station
Beihai railway station is the main passenger rail hub serving the coastal city of Beihai in Guangxi, China, connecting it to regional and national rail networks.
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D.
Kunming Railway Station
Kunming Railway Station is a major passenger and transportation hub in Kunming, Yunnan Province, serving as one of the key railway gateways to southwestern China.
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E.
Liuzhou–Nanning intercity railway
The Liuzhou–Nanning intercity railway is a high-speed rail line in Guangxi, China, connecting the cities of Liuzhou and Nanning to support rapid regional passenger transport.
- 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: Nanning railway station Target entity description: Nanning railway station is a major rail transport hub in Nanning, Guangxi, serving both conventional and high-speed train services across southern China.
-
A.
Liuzhou railway station
Liuzhou railway station is a major rail transport hub in Liuzhou, Guangxi, China, serving both conventional and high-speed train services connecting the city with regional and national destinations.
-
B.
Liuzhou North railway station
Liuzhou North railway station is a major passenger and freight rail hub serving the northern part of Liuzhou in China’s Guangxi region.
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C.
Beihai railway station
Beihai railway station is the main passenger rail hub serving the coastal city of Beihai in Guangxi, China, connecting it to regional and national rail networks.
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D.
Kunming Railway Station
Kunming Railway Station is a major passenger and transportation hub in Kunming, Yunnan Province, serving as one of the key railway gateways to southwestern China.
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E.
Liuzhou–Nanning intercity railway
The Liuzhou–Nanning intercity railway is a high-speed rail line in Guangxi, China, connecting the cities of Liuzhou and Nanning to support rapid regional passenger transport.
- F. None of above. chosen
Statements (46)
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: Nanning railway station Description of subject: Nanning railway station is a major rail transport hub in Nanning, Guangxi, serving both conventional and high-speed train services across southern China.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Nanning railway station
linked to: Nanning railway station