Guangzhou Metro Line 3
E185258
Guangzhou Metro Line 3 is a major rapid transit line in Guangzhou, China, known for its high passenger volume and for linking key urban areas with the city's international airport.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Guangzhou Metro Line 3 canonical | 11 |
| Line 3 (Guangzhou Metro) | 2 |
| Guangzhou Metro Line 3 North Extension | 1 |
| Guangzhou Metro Line 3 stations | 1 |
| Line 3 of Guangzhou Metro | 1 |
| 广州地铁3号线 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1629334 — 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: Guangzhou Metro Line 3 Context triple: [Guangzhou Baiyun International Airport, hasMetroConnection, Guangzhou Metro Line 3]
-
A.
Shenzhen Metro Line 2
Shenzhen Metro Line 2 is a major east–west rapid transit line in Shenzhen’s metro system, connecting key residential, commercial, and high-tech areas including Nanshan District.
-
B.
Guangzhou Metro
Guangzhou Metro is the rapid transit system serving Guangzhou, China, forming one of the country’s largest and busiest urban rail networks.
-
C.
Shenzhen Metro Line 5
Shenzhen Metro Line 5 is a major orbital rapid transit line in Shenzhen’s metro system, connecting multiple districts across the city and easing east–west urban travel.
-
D.
Shenzhen Metro Line 9
Shenzhen Metro Line 9 is an urban rapid transit line in Shenzhen, China, connecting key areas including Nanshan District with other major commercial and residential hubs in the city.
-
E.
Shenzhen Metro Line 11
Shenzhen Metro Line 11 is a high-speed, express metro line in Shenzhen that connects the city center with key districts and Shenzhen Bao'an 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: Guangzhou Metro Line 3 Target entity description: Guangzhou Metro Line 3 is a major rapid transit line in Guangzhou, China, known for its high passenger volume and for linking key urban areas with the city's international airport.
-
A.
Shenzhen Metro Line 2
Shenzhen Metro Line 2 is a major east–west rapid transit line in Shenzhen’s metro system, connecting key residential, commercial, and high-tech areas including Nanshan District.
-
B.
Guangzhou Metro
Guangzhou Metro is the rapid transit system serving Guangzhou, China, forming one of the country’s largest and busiest urban rail networks.
-
C.
Shenzhen Metro Line 5
Shenzhen Metro Line 5 is a major orbital rapid transit line in Shenzhen’s metro system, connecting multiple districts across the city and easing east–west urban travel.
-
D.
Shenzhen Metro Line 9
Shenzhen Metro Line 9 is an urban rapid transit line in Shenzhen, China, connecting key areas including Nanshan District with other major commercial and residential hubs in the city.
-
E.
Shenzhen Metro Line 11
Shenzhen Metro Line 11 is a high-speed, express metro line in Shenzhen that connects the city center with key districts and Shenzhen Bao'an International Airport.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
metro line
ⓘ
rapid transit line ⓘ |
| connectsArea |
Baiyun District
ⓘ
Haizhu District ⓘ Panyu District ⓘ Tianhe District ⓘ Yuexiu District ⓘ |
| connectsTo |
Guangzhou Baiyun International Airport
ⓘ
Guangzhou Baiyun International Airport ⓘ
surface form:
Guangzhou Baiyun International Airport Terminal 1
Guangzhou Baiyun International Airport ⓘ
surface form:
Guangzhou Baiyun International Airport Terminal 2
Guangzhou ⓘ
surface form:
Guangzhou city center
|
| country | China ⓘ |
| electrification |
DC
ⓘ
overhead line ⓘ |
| hasBranch | Airport North branch ⓘ |
| hasCharacter |
elevated
ⓘ
underground ⓘ |
| hasChineseName |
Guangzhou Metro Line 3
self-linksurface differs
ⓘ
surface form:
广州地铁3号线
|
| hasColor | orange ⓘ |
| hasInterchange |
Hanxi Changlong station
ⓘ
Jiahewanggang Station ⓘ
surface form:
Jiahewanggang station
Kecun Station ⓘ
surface form:
Kecun station
Tiyu Xilu Station ⓘ
surface form:
Tiyu Xilu station
Zhujiang New Town Station ⓘ
surface form:
Zhujiang New Town station
|
| hasTerminus |
Panyu Square
ⓘ
Guangzhou Bus Terminal ⓘ
surface form:
Tianhe Coach Terminal
|
| isMajorAxisOf | north–south travel in Guangzhou ⓘ |
| languageOfName | Chinese ⓘ |
| lineNumber | 3 ⓘ |
| locatedIn |
China
ⓘ
Guangdong Province ⓘ Guangzhou ⓘ |
| notableFor |
high passenger volume
ⓘ
linking central Guangzhou with Guangzhou Baiyun International Airport ⓘ |
| operator | Guangzhou Metro Group ⓘ |
| partOf | Guangzhou Metro ⓘ |
| railGauge | standard gauge ⓘ |
| servesStation |
Airport North Station
ⓘ
surface form:
Airport North station
Airport South Station ⓘ
surface form:
Airport South station
Kecun Station ⓘ
surface form:
Kecun station
Panyu Square station ⓘ Tianhe Coach Terminal station ⓘ Tiyu Xilu Station ⓘ
surface form:
Tiyu Xilu station
Zhujiang New Town Station ⓘ
surface form:
Zhujiang New Town station
|
| system | Guangzhou Metro ⓘ |
| transportType | rapid transit ⓘ |
| usesRollingStock | Type B metro trains ⓘ |
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: Guangzhou Metro Line 3 Description of subject: Guangzhou Metro Line 3 is a major rapid transit line in Guangzhou, China, known for its high passenger volume and for linking key urban areas with the city's international airport.
Referenced by (17)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Guangzhou Metro Line 3 North Extension
this entity surface form:
广州地铁3号线
this entity surface form:
Line 3 of Guangzhou Metro
this entity surface form:
Guangzhou Metro Line 3 stations
subject surface form:
Line 1 (Guangzhou Metro)
this entity surface form:
Line 3 (Guangzhou Metro)
subject surface form:
Line 7 (Guangzhou Metro)
this entity surface form:
Line 3 (Guangzhou Metro)