Tehran urban road network
E706470
The Tehran urban road network is the extensive system of streets, avenues, and highways that structures transportation and connectivity across Iran’s capital city.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Tehran road network | 5 |
| Tehran urban road network canonical | 3 |
| Tehran urban transport network | 1 |
| خیابانهای تهران | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8048029 — 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: Tehran urban road network Context triple: [Enghelab Street, partOf, Tehran urban road network]
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A.
Hanoi urban road network
The Hanoi urban road network is the extensive system of streets, avenues, and highways that connects the districts of Vietnam’s capital city, facilitating daily transportation, commerce, and regional mobility.
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B.
Recife urban road network
The Recife urban road network is the interconnected system of streets, avenues, and highways that supports transportation and mobility throughout the city of Recife, Brazil.
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C.
Tehran Bus Rapid Transit
Tehran Bus Rapid Transit is a dedicated-lane bus network in Iran’s capital that provides high-capacity, rapid public transportation across major urban corridors.
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D.
Amsterdam inner-city road network
The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
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E.
Santiago urban highway network
The Santiago urban highway network is an integrated system of urban expressways and toll roads that facilitates high-capacity vehicular traffic across the metropolitan area of Santiago, Chile.
- 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: Tehran urban road network Target entity description: The Tehran urban road network is the extensive system of streets, avenues, and highways that structures transportation and connectivity across Iran’s capital city.
-
A.
Hanoi urban road network
The Hanoi urban road network is the extensive system of streets, avenues, and highways that connects the districts of Vietnam’s capital city, facilitating daily transportation, commerce, and regional mobility.
-
B.
Recife urban road network
The Recife urban road network is the interconnected system of streets, avenues, and highways that supports transportation and mobility throughout the city of Recife, Brazil.
-
C.
Tehran Bus Rapid Transit
Tehran Bus Rapid Transit is a dedicated-lane bus network in Iran’s capital that provides high-capacity, rapid public transportation across major urban corridors.
-
D.
Amsterdam inner-city road network
The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
-
E.
Santiago urban highway network
The Santiago urban highway network is an integrated system of urban expressways and toll roads that facilitates high-capacity vehicular traffic across the metropolitan area of Santiago, Chile.
- F. None of above. chosen
Statements (66)
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: Tehran urban road network Description of subject: The Tehran urban road network is the extensive system of streets, avenues, and highways that structures transportation and connectivity across Iran’s capital city.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Line 4
linked to: Tehran urban road network
linked to: Tehran urban road network
linked to: Tehran urban road network
linked to: Tehran urban road network
linked to: Tehran urban road network
linked to: Tehran urban road network
linked to: Tehran urban road network