R29
E486275
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
All labels observed (1)
| Label | Occurrences |
|---|---|
| R29 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T5026584 — 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: R29 Context triple: [7th Avenue station (BMT Brighton Line), hasStationCode, R29]
-
A.
R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
-
B.
R2
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
-
C.
R230
The R230 is the fifth-generation Mercedes-Benz SL-Class, a luxury two-seat roadster produced in the 2000s known for its retractable hardtop and advanced technology features.
-
D.
R91
R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
-
E.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
- 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: R29 Target entity description: R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
-
A.
R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
-
B.
R2
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
-
C.
R230
The R230 is the fifth-generation Mercedes-Benz SL-Class, a luxury two-seat roadster produced in the 2000s known for its retractable hardtop and advanced technology features.
-
D.
R91
R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
-
E.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
New York City Subway station code
ⓘ
transportation infrastructure identifier ⓘ |
| appliesToBorough | Brooklyn NERFINISHED ⓘ |
| appliesToDivision | BMT Division NERFINISHED ⓘ |
| appliesToLine | BMT Brighton Line NERFINISHED ⓘ |
| appliesToStation | 7th Avenue NERFINISHED ⓘ |
| codeType | internal station code ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dataDomain | transit operations data ⓘ |
| hasStationName | 7th Avenue NERFINISHED ⓘ |
| identifies | 7th Avenue station on the BMT Brighton Line NERFINISHED ⓘ |
| isInternalCodeFor | 7th Avenue (BMT Brighton Line) subway station NERFINISHED ⓘ |
| locatedInCity | New York City NERFINISHED ⓘ |
| locatedInState | New York NERFINISHED ⓘ |
| networkOperator |
Metropolitan Transportation Authority
NERFINISHED
ⓘ
New York City Transit Authority NERFINISHED ⓘ |
| notUsedAs | public station name ⓘ |
| relatedRouteDesignation |
BMT
NERFINISHED
ⓘ
Brighton Line NERFINISHED ⓘ |
| scope | subway station identification ⓘ |
| systemContext | internal station coding system of the New York City Subway ⓘ |
| transportSystem | New York City Subway NERFINISHED ⓘ |
| usedBy | New York City Subway NERFINISHED ⓘ |
| usedFor |
asset management
ⓘ
data systems ⓘ operations ⓘ scheduling ⓘ |
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: R29 Description of subject: R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.