Line 17
E69975
Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Line 17 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T530968 — 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: Line 17 Context triple: [Beijing Subway, hasLine, Line 17]
-
A.
Line 16
Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
-
B.
Line 15
Line 15 is a rapid transit line of the Beijing Subway system serving northern parts of the city with both urban and suburban stations.
-
C.
Line 14
Line 14 is a major rapid transit line of the Beijing Subway system that serves multiple key residential and commercial districts across the city.
-
D.
Line 13
Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
-
E.
Line 10
Line 10 is a major loop line of the Beijing Subway that encircles central urban districts and serves as a key transfer route in the 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: Line 17 Target entity description: Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
-
A.
Line 16
Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
-
B.
Line 15
Line 15 is a rapid transit line of the Beijing Subway system serving northern parts of the city with both urban and suburban stations.
-
C.
Line 14
Line 14 is a major rapid transit line of the Beijing Subway system that serves multiple key residential and commercial districts across the city.
-
D.
Line 13
Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
-
E.
Line 10
Line 10 is a major loop line of the Beijing Subway that encircles central urban districts and serves as a key transfer route in the network.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
Beijing Subway line
ⓘ
rapid transit line ⓘ |
| character | underground ⓘ |
| city | Beijing ⓘ |
| country | China ⓘ |
| electrification |
DC power supply
ⓘ
third rail ⓘ |
| fareSystem | Beijing Subway fare system ⓘ |
| hasDirection | north–south ⓘ |
| hasLanguage | Chinese ⓘ |
| locatedIn | Beijing ⓘ |
| locatedInTimeZone | China Standard Time ⓘ |
| operator | Beijing Mass Transit Railway Operation Corporation Limited ⓘ |
| ownedBy | Beijing Municipal Government ⓘ |
| partOf |
Beijing Subway
ⓘ
surface form:
Beijing urban rail network
|
| purpose | improve north–south connectivity in Beijing ⓘ |
| regionServed |
Beijing
ⓘ
surface form:
Beijing Municipality
|
| serves |
central Beijing
ⓘ
north Beijing ⓘ south Beijing ⓘ |
| system | Beijing Subway ⓘ |
| ticketing |
Beijing Municipal Administration and Communication Card
ⓘ
surface form:
Beijing Yikatong
|
| trackGauge | standard gauge ⓘ |
| transitType | rapid transit ⓘ |
| transportMode | metro ⓘ |
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: Line 17 Description of subject: Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.