Xierqi
E406595
Xierqi is a major technology and business hub in Beijing, known for its concentration of high-tech companies and convenient transportation links.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Xierqi canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4008098 — 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: Xierqi Context triple: [Haidian District, contains, Xierqi]
-
A.
Qiying
Qiying was a Qing dynasty statesman and diplomat who played a key role in negotiating several unequal treaties with Western powers in the mid-19th century.
-
B.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
-
C.
Yingqin
Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
-
D.
Yingtian
Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
-
E.
Qichao
Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
- 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: Xierqi Target entity description: Xierqi is a major technology and business hub in Beijing, known for its concentration of high-tech companies and convenient transportation links.
-
A.
Qiying
Qiying was a Qing dynasty statesman and diplomat who played a key role in negotiating several unequal treaties with Western powers in the mid-19th century.
-
B.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
-
C.
Yingqin
Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
-
D.
Yingtian
Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
-
E.
Qichao
Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
business district
ⓘ
technology hub ⓘ urban area ⓘ |
| country | China ⓘ |
| developmentType | high-tech industrial development ⓘ |
| economicRole |
employment center for IT professionals
ⓘ
major technology cluster in Beijing ⓘ |
| hasInfrastructure |
business parks
ⓘ
office parks ⓘ research and development centers ⓘ |
| hasTransport | Xierqi Station ⓘ |
| knownFor |
convenient transportation links
ⓘ
high concentration of high-tech companies ⓘ internet companies ⓘ software companies ⓘ technology industry ⓘ |
| language | Mandarin Chinese ⓘ |
| locatedIn |
Beijing
ⓘ
Haidian District ⓘ |
| partOf |
Zhongguancun technology area
ⓘ
linked to:
Zhongguancun Science Park
|
| servedBy |
Beijing Subway Changping Line
ⓘ
linked to:
Changping Line (Beijing Subway)
Beijing Subway Line 13 ⓘ |
| timeZone | China Standard Time ⓘ |
| urbanFunction |
commuter hub
ⓘ
workplace district ⓘ |
| 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: Xierqi Description of subject: Xierqi is a major technology and business hub in Beijing, known for its concentration of high-tech companies and convenient transportation links.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.