Fuxing
E923682
Fuxing is a series of Chinese high-speed electric multiple unit trains known for their advanced technology, high operating speeds, and use on major routes across China’s high-speed rail network.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Fuxing canonical | 3 |
| Fuxing series | 2 |
| Fuxing (Revival) | 1 |
| Fuxing Hao | 1 |
| Fuxing high-speed train program | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11399420 — 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: Fuxing Context triple: [China High-Speed Rail Network, rollingStockBrand, Fuxing]
-
A.
Zhongxiao Fuxing
Zhongxiao Fuxing is a key Taipei Metro station in central Taipei that serves as a busy transfer hub between multiple subway lines and a gateway to nearby commercial and shopping districts.
-
B.
Yongqi
Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
-
C.
Jinling
Jinling is an ancient name for the Chinese city now known as Nanjing, historically renowned as a major political and cultural center.
-
D.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
-
E.
Wuling
Wuling is the historical name of a region in Hunan, China, that later became known as Changde.
- 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: Fuxing Target entity description: Fuxing is a series of Chinese high-speed electric multiple unit trains known for their advanced technology, high operating speeds, and use on major routes across China’s high-speed rail network.
-
A.
Zhongxiao Fuxing
Zhongxiao Fuxing is a key Taipei Metro station in central Taipei that serves as a busy transfer hub between multiple subway lines and a gateway to nearby commercial and shopping districts.
-
B.
Yongqi
Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
-
C.
Jinling
Jinling is an ancient name for the Chinese city now known as Nanjing, historically renowned as a major political and cultural center.
-
D.
Wuling
Wuling is the historical name of a region in Hunan, China, that later became known as Changde.
-
E.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
electric multiple unit
ⓘ
high-speed train series ⓘ |
| belongsTo | China Railway High-speed rolling stock ⓘ |
| brakingSystem |
electropneumatic brakes
ⓘ
regenerative braking ⓘ |
| controlSystem | distributed traction control ⓘ |
| countryOfOrigin | China ⓘ |
| designedFor |
intercity high-speed services
ⓘ
long-distance high-speed services ⓘ |
| designSpeed | 400 km/h ⓘ |
| developedBy |
CRRC
ⓘ
linked to:
CRRC Corporation
China Railway Corporation ⓘ
linked to:
China State Railway Group
|
| fleetRole | flagship high-speed train of China Railway ⓘ |
| introducedBy |
China Railway Corporation
ⓘ
linked to:
China State Railway Group
|
| introducedInYear | 2017 ⓘ |
| languageOfName | Chinese ⓘ |
| manufacturer |
CRRC
ⓘ
linked to:
CRRC Corporation
CRRC Changchun Railway Vehicles ⓘ CRRC Qingdao Sifang ⓘ |
| nameMeaning | rejuvenation ⓘ |
| notableFeature |
advanced train control and signaling systems
ⓘ
aerodynamic nose design ⓘ designed for 350 km/h commercial operation ⓘ energy-efficient design ⓘ high level of localization of components ⓘ high passenger capacity ⓘ |
| operator | China Railway ⓘ |
| powerSupply | 25 kV AC 50 Hz overhead line ⓘ |
| predecessor | Hexie ⓘ |
| railGauge | standard gauge ⓘ |
| safetyFeature |
automatic train protection
ⓘ
real-time monitoring systems ⓘ |
| serviceArea | mainland China ⓘ |
| serviceClass |
business class
ⓘ
first class ⓘ second class ⓘ |
| serviceType | passenger ⓘ |
| technologyOrigin | indigenous Chinese technology ⓘ |
| topOperatingSpeed | 350 km/h ⓘ |
| traction | electric ⓘ |
| trainFormation |
16-car sets
ⓘ
8-car sets ⓘ |
| trainType | high-speed EMU ⓘ |
| usedOnNetwork |
China Railway High-speed
ⓘ
linked to:
CRH
|
| usedOnRoute |
Beijing–Guangzhou High-Speed Railway
ⓘ
Beijing–Harbin High-Speed Railway ⓘ
linked to:
Beijing–Harbin high-speed railway
Beijing–Hong Kong High-Speed Railway ⓘ Beijing–Shanghai High-Speed Railway ⓘ Shanghai–Kunming High-Speed Railway ⓘ Xuzhou–Lanzhou High-Speed Railway ⓘ |
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: Fuxing Description of subject: Fuxing is a series of Chinese high-speed electric multiple unit trains known for their advanced technology, high operating speeds, and use on major routes across China’s high-speed rail network.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Fuxing
linked to: Fuxing
linked to: Fuxing
linked to: Fuxing
linked to: Fuxing