Green Line–Orange Line
E200364
Green Line–Orange Line is a major rapid transit interchange in Manila’s LRT/MRT network where the two lines intersect, enabling passenger transfers between them.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Green Line–Orange Line canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1709761 — 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: Green Line–Orange Line Context triple: [Roosevelt station, hasTransfer, Green Line–Orange Line]
-
A.
Red Line–Orange Line
Red Line–Orange Line is a transfer connection point in the Chicago 'L' rapid transit system where passengers can switch between the Red and Orange lines.
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B.
Red Line and Green Line
Red Line and Green Line are two key Boston MBTA subway lines that intersect at Park Street Station, serving as major routes through the city and surrounding areas.
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C.
Green Line
The Green Line is one of the color-coded routes of the Tyne and Wear Metro rapid transit system serving the Newcastle upon Tyne area in northeast England.
-
D.
Green Line
The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
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E.
Green Line
Green Line is a hybrid-oriented trim level of the Saturn Aura midsize sedan designed to offer improved fuel efficiency and lower emissions.
- 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: Green Line–Orange Line Target entity description: Green Line–Orange Line is a major rapid transit interchange in Manila’s LRT/MRT network where the two lines intersect, enabling passenger transfers between them.
-
A.
Red Line–Orange Line
Red Line–Orange Line is a transfer connection point in the Chicago 'L' rapid transit system where passengers can switch between the Red and Orange lines.
-
B.
Red Line and Green Line
Red Line and Green Line are two key Boston MBTA subway lines that intersect at Park Street Station, serving as major routes through the city and surrounding areas.
-
C.
Green Line
The Green Line is one of the color-coded rapid transit routes in the Washington Metro system, serving key neighborhoods in Washington, D.C. and parts of Maryland.
-
D.
Green Line
The Green Line is one of the color-coded rapid transit routes in Atlanta’s MARTA rail system, serving key stations on the city’s east–west corridor.
-
E.
Green Line
The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
railway station interchange
ⓘ
rapid transit interchange ⓘ |
| country | Philippines ⓘ |
| enables | transfers between Green Line and Orange Line ⓘ |
| fareSystem | urban rail transit ⓘ |
| function | passenger transfer between Green Line and Orange Line ⓘ |
| hasTransportMode |
light rail
ⓘ
metro ⓘ |
| infrastructureType | railway interchange station ⓘ |
| isInterchangeBetween |
Green Line
ⓘ
Orange Line ⓘ |
| locatedIn |
Manila
ⓘ
Metro Manila ⓘ |
| networkRole | major interchange ⓘ |
| partOf |
Manila LRT/MRT network
ⓘ
linked to:
Manila Light Rail Transit System
|
| railNetworkType | rapid transit ⓘ |
| regionServed |
Metro Manila urban area
ⓘ
linked to:
Metro Manila
|
| servesCity | Manila ⓘ |
| servesLine |
Green Line
ⓘ
Orange Line ⓘ |
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: Green Line–Orange Line Description of subject: Green Line–Orange Line is a major rapid transit interchange in Manila’s LRT/MRT network where the two lines intersect, enabling passenger transfers between them.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.