J. Ruiz station
E279095
J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| J. Ruiz station canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T2542176 — 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: J. Ruiz station Context triple: [LRT Line 2, hasStation, J. Ruiz station]
-
A.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
B.
Retiro station
Retiro station is a major Buenos Aires Underground terminus and transport hub located in the Retiro district of Argentina’s capital.
-
C.
Tasqueña station
Tasqueña station is a major southern transit hub in Mexico City that serves as the terminus for the Tren Ligero light rail and connects with the city’s metro and bus networks.
-
D.
Sagrado Corazón station
Sagrado Corazón station is a major rapid transit station in San Juan, Puerto Rico, serving as the northern endpoint of the city's Tren Urbano metro system.
-
E.
Escudero Station
Escudero Station is a Chilean Antarctic research base located on King George Island that supports scientific studies and logistical operations in the region.
- 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: J. Ruiz station Target entity description: J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
-
A.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
B.
Retiro station
Retiro station is a major Buenos Aires Underground terminus and transport hub located in the Retiro district of Argentina’s capital.
-
C.
Tasqueña station
Tasqueña station is a major southern transit hub in Mexico City that serves as the terminus for the Tren Ligero light rail and connects with the city’s metro and bus networks.
-
D.
Sagrado Corazón station
Sagrado Corazón station is a major rapid transit station in San Juan, Puerto Rico, serving as the northern endpoint of the city's Tren Urbano metro system.
-
E.
Escudero Station
Escudero Station is a Chilean Antarctic research base located on King George Island that supports scientific studies and logistical operations in the region.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
Manila Light Rail Transit station
ⓘ
elevated railway station ⓘ |
| adjacentStation |
Gilmore station
ⓘ
V. Mapa station ⓘ |
| cityServed | San Juan ⓘ |
| country | Philippines ⓘ |
| fareSystem |
single-journey ticket
ⓘ
stored-value card ⓘ |
| fareZone | LRT Line 2 unified zone ⓘ |
| hasConnection |
jeepney services in San Juan
ⓘ
tricycle services in San Juan ⓘ |
| hasFacility |
escalators
ⓘ
platform level ⓘ stairs ⓘ ticketing area ⓘ |
| hasStationCode | JR ⓘ |
| locatedIn |
Metro Manila
ⓘ
surface form:
Metro Manila, Philippines
San Juan, Manila ⓘ
surface form:
San Juan, Metro Manila, Philippines
|
| namedAfter | J. Ruiz Street ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 2003 ⓘ |
| operatedBy | Light Rail Transit Authority ⓘ |
| owner |
Philippines
ⓘ
surface form:
Republic of the Philippines
|
| partOf | Manila Light Rail Transit System ⓘ |
| platformType | island platform ⓘ |
| publicTransportSystem |
Manila Light Rail Transit System
ⓘ
surface form:
Manila LRT
|
| railwayLine | LRT Line 2 ⓘ |
| regionServed | National Capital Region ⓘ |
| serves | San Juan ⓘ |
| servesLine |
LRT Line 2
ⓘ
surface form:
Purple Line (LRT Line 2)
|
| structureType | elevated ⓘ |
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: J. Ruiz station Description of subject: J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.