Madang Road station
E782733
Madang Road station is a Shanghai Metro interchange station in the Huangpu District, serving as a stop on Line 13 and connecting with other central urban routes.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Madang Road station canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8663908 — 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: Madang Road station Context triple: [Line 13 (Shanghai Metro), hasStation, Madang Road station]
-
A.
Keyi Road station
Keyi Road station is a subway stop on Beijing's extensive metro network serving passengers in the city's urban area.
-
B.
Caobao Road station
Caobao Road station is a metro station in Shanghai, China, serving passengers on the city's Line 1 rapid transit route.
-
C.
Ximen Station
Ximen Station is a major Taipei Metro interchange station in the Ximending shopping and entertainment district of Taipei, Taiwan.
-
D.
Dahuasan Road station
Dahuasan Road station is a metro station on the Shanghai Metro network serving passengers along Line 7 in Shanghai, China.
-
E.
Yili Road Station
Yili Road Station is a Shanghai Metro station located in the city's Changning District, serving as part of the urban rapid transit network.
- 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: Madang Road station Target entity description: Madang Road station is a Shanghai Metro interchange station in the Huangpu District, serving as a stop on Line 13 and connecting with other central urban routes.
-
A.
Keyi Road station
Keyi Road station is a subway stop on Beijing's extensive metro network serving passengers in the city's urban area.
-
B.
Caobao Road station
Caobao Road station is a metro station in Shanghai, China, serving passengers on the city's Line 1 rapid transit route.
-
C.
Ximen Station
Ximen Station is a major Taipei Metro interchange station in the Ximending shopping and entertainment district of Taipei, Taiwan.
-
D.
Dahuasan Road station
Dahuasan Road station is a metro station on the Shanghai Metro network serving passengers along Line 7 in Shanghai, China.
-
E.
Yili Road Station
Yili Road Station is a Shanghai Metro station located in the city's Changning District, serving as part of the urban rapid transit network.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
Shanghai Metro station
ⓘ
interchange station ⓘ |
| accessible | yes ⓘ |
| city | Shanghai ⓘ |
| country | China ⓘ |
| district | Huangpu District NERFINISHED ⓘ |
| fareZone | Shanghai Metro unified zone ⓘ |
| hasFeature | interchange passage between Line 9 and Line 13 ⓘ |
| interchangeWith |
Shanghai Metro Line 13
NERFINISHED
ⓘ
Shanghai Metro Line 9 NERFINISHED ⓘ |
| line13OpeningDate | 2012-12-30 ⓘ |
| line9OpeningDate | 2009-12-31 ⓘ |
| locatedIn |
China
ⓘ
Huangpu District NERFINISHED ⓘ Shanghai ⓘ |
| nativeNameLanguage | zh ⓘ |
| numberOfPlatforms | 4 ⓘ |
| numberOfTracks | 4 ⓘ |
| opened | 2009-12-31 ⓘ |
| operator | Shanghai No. 1 Metro Operation Co. Ltd. NERFINISHED ⓘ |
| partOf | Shanghai Metro NERFINISHED ⓘ |
| platformType | island platform ⓘ |
| servesArea |
Huangpu central urban area
NERFINISHED
ⓘ
central Shanghai ⓘ |
| servesLine |
Shanghai Metro Line 13
NERFINISHED
ⓘ
Shanghai Metro Line 9 NERFINISHED ⓘ |
| structureType | underground station ⓘ |
| systemStyle | Shanghai Metro 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: Madang Road station Description of subject: Madang Road station is a Shanghai Metro interchange station in the Huangpu District, serving as a stop on Line 13 and connecting with other central urban routes.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Line 13 (Shanghai Metro)