Lima road network
E390266
The Lima road network is the interconnected system of highways, arterial roads, and urban streets that supports transportation and mobility across Peru’s capital city and its metropolitan area.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Lima street grid | 2 |
| Lima road network canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3824529 — 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: Lima road network Context triple: [Costa Verde highway, partOf, Lima road network]
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A.
Mexico City road network
The Mexico City road network is an extensive and complex urban transportation system of avenues, highways, and streets that supports one of the largest and most densely populated metropolitan areas in the world.
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B.
Chilean national road network
The Chilean national road network is the country’s integrated system of major highways and routes that connect its regions, cities, and key economic areas across its long north–south territory.
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C.
Avenida Tobalaba
Avenida Tobalaba is a major thoroughfare in Santiago, Chile, running through several communes and serving as an important urban transit and commercial corridor.
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D.
Costanera Norte highway
The Costanera Norte highway is a major urban expressway in Santiago, Chile, forming a key east–west traffic corridor through the city.
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E.
Via Laietana
Via Laietana is a major thoroughfare in central Barcelona that cuts through the historic city, linking the Eixample district with the waterfront and separating the Gothic Quarter from the El Born neighborhood.
- 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: Lima road network Target entity description: The Lima road network is the interconnected system of highways, arterial roads, and urban streets that supports transportation and mobility across Peru’s capital city and its metropolitan area.
-
A.
Mexico City road network
The Mexico City road network is an extensive and complex urban transportation system of avenues, highways, and streets that supports one of the largest and most densely populated metropolitan areas in the world.
-
B.
Chilean national road network
The Chilean national road network is the country’s integrated system of major highways and routes that connect its regions, cities, and key economic areas across its long north–south territory.
-
C.
Avenida Tobalaba
Avenida Tobalaba is a major thoroughfare in Santiago, Chile, running through several communes and serving as an important urban transit and commercial corridor.
-
D.
Costanera Norte highway
The Costanera Norte highway is a major urban expressway in Santiago, Chile, forming a key east–west traffic corridor through the city.
-
E.
Via Laietana
Via Laietana is a major thoroughfare in central Barcelona that cuts through the historic city, linking the Eixample district with the waterfront and separating the Gothic Quarter from the El Born neighborhood.
- F. None of above. chosen
Statements (65)
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: Lima road network Description of subject: The Lima road network is the interconnected system of highways, arterial roads, and urban streets that supports transportation and mobility across Peru’s capital city and its metropolitan area.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Lima road network
linked to: Lima road network