Shaxi
E743161
Shaxi is a metro station in Guangzhou, China, serving passengers on the city’s Line 7 rapid transit route.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Shaxi canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8532595 — 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: Shaxi Context triple: [Guangzhou Metro Line 7, hasStation, Shaxi]
-
A.
Teisheba
Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
-
B.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
-
C.
Hezhe
The Hezhe are a small Tungusic ethnic group in northeastern China, traditionally known for fishing and hunting along the Amur and Ussuri rivers and for their distinctive riverine culture.
-
D.
Shina
Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
-
E.
Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
- 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: Shaxi Target entity description: Shaxi is a metro station in Guangzhou, China, serving passengers on the city’s Line 7 rapid transit route.
-
A.
Teisheba
Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
-
B.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
-
C.
Hezhe
The Hezhe are a small Tungusic ethnic group in northeastern China, traditionally known for fishing and hunting along the Amur and Ussuri rivers and for their distinctive riverine culture.
-
D.
Shina
Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
-
E.
Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
Guangzhou Metro station
ⓘ
metro station ⓘ |
| continent | Asia ⓘ |
| country | China ⓘ |
| electrification | overhead line ⓘ |
| fareCollection | automatic fare collection ⓘ |
| fareSystem | Guangzhou Metro fare system ⓘ |
| hasAccessibilityFeature |
elevators
ⓘ
escalators ⓘ tactile paving ⓘ |
| hasLanguage | Chinese ⓘ |
| hasService | rapid transit ⓘ |
| hasSignageLanguage |
English
ⓘ
Simplified Chinese ⓘ |
| isPartOfLine |
Line 7 of Guangzhou Metro
ⓘ
linked to:
Guangzhou Metro Line 7
|
| locatedIn | Guangzhou ⓘ |
| locatedInAdministrativeTerritory | Panyu District ⓘ |
| locatedInCountry | China ⓘ |
| locatedInProvince |
Guangdong
ⓘ
linked to:
Guangdong Province
|
| operator | Guangzhou Metro ⓘ |
| owner | Guangzhou Metro ⓘ |
| partOf | Guangzhou Metro ⓘ |
| platformType | island platform ⓘ |
| publicTransportSystem | Guangzhou Metro ⓘ |
| railGauge | standard gauge ⓘ |
| servesCity | Guangzhou ⓘ |
| servesLine | Line 7 ⓘ |
| structureType | underground station ⓘ |
| ticketingSystem |
contactless smart card
ⓘ
single-journey token ⓘ |
| transportMode | metro ⓘ |
| transportNetwork | Guangzhou Metro Line 7 ⓘ |
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: Shaxi Description of subject: Shaxi is a metro station in Guangzhou, China, serving passengers on the city’s Line 7 rapid transit route.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.