Kim Mã Street
E760049
Kim Mã Street is a major, historically significant thoroughfare in central Hanoi, Vietnam, known for its busy traffic, commercial activity, and connection to key administrative and cultural areas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kim Mã Street canonical | 1 |
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
street
ⓘ
thoroughfare ⓘ |
| connectsTo |
Cầu Giấy area
ⓘ
Giảng Võ Street NERFINISHED ⓘ Liễu Giai Street NERFINISHED ⓘ Nguyễn Thái Học Street NERFINISHED ⓘ |
| country |
Viet Nam
ⓘ
surface form:
Vietnam
|
| hasCharacteristic |
frequent traffic congestion
ⓘ
high population density along corridor ⓘ numerous shops and services ⓘ |
| hasCity | Hanoi NERFINISHED ⓘ |
| hasEconomicRole |
local retail hub
ⓘ
service sector concentration ⓘ |
| hasFunction |
commercial corridor
ⓘ
major traffic artery ⓘ |
| hasLandUse | mixed commercial and residential ⓘ |
| hasNameInVietnamese | Phố Kim Mã NERFINISHED ⓘ |
| hasRoadType | urban arterial road ⓘ |
| hasTransportationMode |
bus traffic
ⓘ
car traffic ⓘ motorbike traffic ⓘ |
| isImportantFor |
access to cultural sites
ⓘ
access to government offices ⓘ daily commuting in central Hanoi ⓘ |
| isPartOfHistoryOf | Hanoi urban development ⓘ |
| knownFor |
busy traffic
ⓘ
commercial activity ⓘ historical significance ⓘ |
| languageOfName | Vietnamese ⓘ |
| locatedIn | Hanoi ⓘ |
| locatedInAdministrativeTerritory |
Ba Đình District
NERFINISHED
ⓘ
Đống Đa District NERFINISHED ⓘ |
| locatedInCentralAreaOf | Hanoi NERFINISHED ⓘ |
| near |
Ba Đình political center
ⓘ
Hanoi administrative center NERFINISHED ⓘ Hanoi cultural institutions ⓘ |
| partOf | Hanoi inner-city road network NERFINISHED ⓘ |
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: Kim Mã Street Description of subject: Kim Mã Street is a major, historically significant thoroughfare in central Hanoi, Vietnam, known for its busy traffic, commercial activity, and connection to key administrative and cultural areas.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.