Baoqing Road
E944108
Baoqing Road is a street in central Taipei, Taiwan, located in the vicinity of the historic Presidential Office Building and other key government and commercial areas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Baoqing Road canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11674944 — 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: Baoqing Road Context triple: [Presidential Office Building, Taipei, near, Baoqing Road]
-
A.
Zhuguang Road
Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
-
B.
Hongqiao Road
Hongqiao Road is a major transport hub and interchange station in Shanghai’s metro network, serving multiple lines and providing access to the busy Hongqiao commercial and residential area.
-
C.
Zhenping Road
Zhenping Road is a metro station in Shanghai that serves as an interchange stop on the city's urban rail network.
-
D.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
E.
Wukang Road
Wukang Road is a historic, tree-lined street in Shanghai known for its well-preserved early 20th-century architecture and cultural landmarks.
- 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: Baoqing Road Target entity description: Baoqing Road is a street in central Taipei, Taiwan, located in the vicinity of the historic Presidential Office Building and other key government and commercial areas.
-
A.
Zhuguang Road
Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
-
B.
Hongqiao Road
Hongqiao Road is a major transport hub and interchange station in Shanghai’s metro network, serving multiple lines and providing access to the busy Hongqiao commercial and residential area.
-
C.
Zhenping Road
Zhenping Road is a metro station in Shanghai that serves as an interchange stop on the city's urban rail network.
-
D.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
E.
Wukang Road
Wukang Road is a historic, tree-lined street in Shanghai known for its well-preserved early 20th-century architecture and cultural landmarks.
- F. None of above. chosen
Statements (19)
| Predicate | Object |
|---|---|
| instanceOf |
road
ⓘ
street ⓘ |
| country |
Taiwan
ⓘ
linked to:
Taiwan, Province of China
|
| hasFunction |
access road to commercial areas
ⓘ
access road to government institutions ⓘ urban traffic artery ⓘ |
| locatedIn |
Taipei
ⓘ
linked to:
Taipei, Taiwan
Zhongzheng District ⓘ central Taipei ⓘ |
| locatedInTimeZone |
National Standard Time (Taiwan)
ⓘ
linked to:
Taipei Time
|
| near |
Bo’ai Road
ⓘ
Chongqing South Road ⓘ Hengyang Road ⓘ Ketagalan Boulevard ⓘ Presidential Office Building (Taiwan) ⓘ
linked to:
Presidential Office Building, Taipei
Taipei City Government (Zhongzheng administrative area) ⓘ
linked to:
Taipei City Government
commercial areas in central Taipei ⓘ government offices in Zhongzheng District ⓘ |
| partOf | road network of Taipei ⓘ |
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: Baoqing Road Description of subject: Baoqing Road is a street in central Taipei, Taiwan, located in the vicinity of the historic Presidential Office Building and other key government and commercial areas.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.