Guishan District
E649840
Guishan District is an urban district in Taoyuan City, Taiwan, known for its mix of residential areas, industrial zones, and educational institutions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Guishan District canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6913401 — 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: Guishan District Context triple: [Taoyuan City, hasDistrict, Guishan District]
-
A.
Yinhai District
Yinhai District is an urban district of Beihai City in Guangxi, China, known for its coastal location and role in the city's economic and administrative activities.
-
B.
Xizhi District
Xizhi District is a suburban district of New Taipei City in northern Taiwan, known for its residential communities, technology parks, and convenient access to central Taipei.
-
C.
Chenghua District
Chenghua District is an urban district of Chengdu, China, best known internationally as the home of the Chengdu Research Base of Giant Panda Breeding.
-
D.
Zhongzheng District
Zhongzheng District is a central administrative and commercial district of Taipei, Taiwan, known for housing key government institutions, major transportation hubs, and important cultural landmarks.
-
E.
Yu’an District
Yu’an District is an urban administrative district under the jurisdiction of Lu’an City in Anhui Province, China.
- 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: Guishan District Target entity description: Guishan District is an urban district in Taoyuan City, Taiwan, known for its mix of residential areas, industrial zones, and educational institutions.
-
A.
Yinhai District
Yinhai District is an urban district of Beihai City in Guangxi, China, known for its coastal location and role in the city's economic and administrative activities.
-
B.
Xizhi District
Xizhi District is a suburban district of New Taipei City in northern Taiwan, known for its residential communities, technology parks, and convenient access to central Taipei.
-
C.
Chenghua District
Chenghua District is an urban district of Chengdu, China, best known internationally as the home of the Chengdu Research Base of Giant Panda Breeding.
-
D.
Zhongzheng District
Zhongzheng District is a central administrative and commercial district of Taipei, Taiwan, known for housing key government institutions, major transportation hubs, and important cultural landmarks.
-
E.
Yu’an District
Yu’an District is an urban administrative district under the jurisdiction of Lu’an City in Anhui Province, China.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
administrative division
ⓘ
district ⓘ urban district ⓘ |
| borderedBy |
Bade District
NERFINISHED
ⓘ
Daxi District NERFINISHED ⓘ Linkou District NERFINISHED ⓘ Luzhu District NERFINISHED ⓘ Shulin District NERFINISHED ⓘ Taoyuan District NERFINISHED ⓘ Wugu District NERFINISHED ⓘ Xinzhuang District NERFINISHED ⓘ Yingge District NERFINISHED ⓘ |
| country | Taiwan NERFINISHED ⓘ |
| elevation | approximately 30–200 metres ⓘ |
| formerName | Guishan Township NERFINISHED ⓘ |
| governedBy | Taoyuan City Government NERFINISHED ⓘ |
| hasAdministrativeCenter | Guishan District Office NERFINISHED ⓘ |
| hasFeature |
mix of urban and semi-rural landscapes
ⓘ
rapid residential development ⓘ technology-related industries ⓘ |
| hasIndustrialArea |
Guishan Industrial Zone
NERFINISHED
ⓘ
Linkou Industrial Area (partly) NERFINISHED ⓘ |
| hasLandUse |
agricultural land
ⓘ
educational institutions ⓘ industrial zones ⓘ residential areas ⓘ |
| hasMajorHospital | Chang Gung Memorial Hospital (Linkou branch) NERFINISHED ⓘ |
| hasMunicipalStatusSince | 2014 ⓘ |
| hasPostalCode | 333 ⓘ |
| hasStation |
Chang Gung Memorial Hospital Station
NERFINISHED
ⓘ
National Taiwan Sport University Station NERFINISHED ⓘ Taishan Guihe Station NERFINISHED ⓘ |
| hasTransportation |
National Freeway 1
NERFINISHED
ⓘ
National Freeway 2 NERFINISHED ⓘ Provincial Highway 1 NERFINISHED ⓘ Taoyuan Airport MRT NERFINISHED ⓘ |
| hasUniversity |
Chang Gung University
NERFINISHED
ⓘ
Chang Gung University of Science and Technology NERFINISHED ⓘ |
| languageUsed |
Hakka
NERFINISHED
ⓘ
Mandarin Chinese NERFINISHED ⓘ Taiwanese Hokkien NERFINISHED ⓘ |
| locatedIn |
Taiwan Province (historical)
NERFINISHED
ⓘ
northwestern Taiwan ⓘ |
| locatedNear | New Taipei City NERFINISHED ⓘ |
| locatedOnIsland | Taiwan Island NERFINISHED ⓘ |
| partOf | Taoyuan City NERFINISHED ⓘ |
| timeZone | National Standard Time NERFINISHED ⓘ |
| utcOffset | +8 ⓘ |
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: Guishan District Description of subject: Guishan District is an urban district in Taoyuan City, Taiwan, known for its mix of residential areas, industrial zones, and educational institutions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.