Ürümqi Metro
E575450
Ürümqi Metro is the rapid transit system serving Ürümqi, the capital of China’s Xinjiang Uyghur Autonomous Region.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ürümqi Metro canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6195838 — 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: Ürümqi Metro Context triple: [Ürümqi, hasPublicTransport, Ürümqi Metro]
-
A.
Tashkent Metro
Tashkent Metro is the rapid transit system serving Uzbekistan’s capital, notable for its Soviet-era architecture and ornately decorated underground stations.
-
B.
Almaty Metro
Almaty Metro is the rapid transit system serving Kazakhstan’s largest city, featuring underground lines that provide urban public transportation.
-
C.
Novosibirsk Metro
Novosibirsk Metro is a rapid transit system in Novosibirsk, Russia, serving as a key component of the city's public transportation network with several lines and stations across the urban area.
-
D.
Baku Metro
Baku Metro is the rapid transit system serving Azerbaijan’s capital city, known for its Soviet-era architecture and role as a key component of Baku’s urban transportation network.
-
E.
Moscow Metro
The Moscow Metro is a major rapid transit system in Moscow renowned for its extensive network, high passenger capacity, and ornately decorated stations often likened to underground palaces.
- 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: Ürümqi Metro Target entity description: Ürümqi Metro is the rapid transit system serving Ürümqi, the capital of China’s Xinjiang Uyghur Autonomous Region.
-
A.
Tashkent Metro
Tashkent Metro is the rapid transit system serving Uzbekistan’s capital, notable for its Soviet-era architecture and ornately decorated underground stations.
-
B.
Almaty Metro
Almaty Metro is the rapid transit system serving Kazakhstan’s largest city, featuring underground lines that provide urban public transportation.
-
C.
Novosibirsk Metro
Novosibirsk Metro is a rapid transit system in Novosibirsk, Russia, serving as a key component of the city's public transportation network with several lines and stations across the urban area.
-
D.
Baku Metro
Baku Metro is the rapid transit system serving Azerbaijan’s capital city, known for its Soviet-era architecture and role as a key component of Baku’s urban transportation network.
-
E.
Moscow Metro
The Moscow Metro is a major rapid transit system in Moscow renowned for its extensive network, high passenger capacity, and ornately decorated stations often likened to underground palaces.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
metro line
ⓘ
metro system ⓘ rapid transit system ⓘ |
| connectsTo | Ürümqi Diwopu International Airport NERFINISHED ⓘ |
| constructionStartYear | 2014 ⓘ |
| continent | Asia ⓘ |
| country | China ⓘ |
| countryCapitalServed | Ürümqi NERFINISHED ⓘ |
| electrification | overhead line ⓘ |
| fareSystem | distance-based fare ⓘ |
| hasFeature |
elevated sections
ⓘ
platform screen doors at many stations ⓘ underground sections ⓘ |
| hasLanguageOnSignage |
Chinese
ⓘ
Uyghur NERFINISHED ⓘ |
| hasLine |
Ürümqi Metro Line 1
NERFINISHED
ⓘ
Ürümqi Metro Line 2 NERFINISHED ⓘ Ürümqi Metro Line 3 NERFINISHED ⓘ Ürümqi Metro Line 4 NERFINISHED ⓘ Ürümqi Metro Line 5 NERFINISHED ⓘ Ürümqi Metro Line 6 NERFINISHED ⓘ Ürümqi Metro Line 7 NERFINISHED ⓘ Ürümqi Metro Line 8 NERFINISHED ⓘ |
| hasRollingStockType | Type A metro cars ⓘ |
| hasStation |
Diwopu International Airport station
NERFINISHED
ⓘ
Santunbei station NERFINISHED ⓘ |
| hasTicketMedia |
contactless smart card
ⓘ
single-journey token ⓘ |
| inception | 2018 ⓘ |
| lineColor | blue ⓘ |
| locatedIn | Ürümqi NERFINISHED ⓘ |
| locatedInAdministrativeTerritory | Xinjiang Uyghur Autonomous Region NERFINISHED ⓘ |
| locatedInTimeZone | China Standard Time ⓘ |
| numberOfLinesInOperation | 1 ⓘ |
| numberOfLinesPlanned | 8 ⓘ |
| operator | Ürümqi Metro Group Co., Ltd. NERFINISHED ⓘ |
| owner | Ürümqi municipal government NERFINISHED ⓘ |
| partOf | Ürümqi Metro NERFINISHED ⓘ |
| primaryFundingSource | local government investment ⓘ |
| propulsionSystem | electric traction ⓘ |
| publicTransportMode | rail ⓘ |
| regionServed | Northern Xinjiang urban corridor NERFINISHED ⓘ |
| safetySystem | automatic train protection ⓘ |
| serves |
Ürümqi Diwopu International Airport
NERFINISHED
ⓘ
Ürümqi urban area ⓘ |
| serviceStartYear | 2018 ⓘ |
| terminus |
Diwopu International Airport station
NERFINISHED
ⓘ
Santunbei station NERFINISHED ⓘ |
| trackGauge | standard gauge ⓘ |
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: Ürümqi Metro Description of subject: Ürümqi Metro is the rapid transit system serving Ürümqi, the capital of China’s Xinjiang Uyghur Autonomous Region.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.