R2
E473361
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| R2 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4824946 — 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: R2 Context triple: [Ashmont station, hasStationCode, R2]
-
A.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
-
B.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
R-5
The R-5 is an early Sikorsky military helicopter developed during World War II, known for advancing rotary-wing design and serving in roles such as rescue and liaison.
-
E.
R4
R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
- 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: R2 Target entity description: R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
-
A.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
B.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
R-5
The R-5 is an early Sikorsky military helicopter developed during World War II, known for advancing rotary-wing design and serving in roles such as rescue and liaison.
-
E.
R4
R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | MBTA station code ⓘ |
| appliesToBranch | Ashmont branch ⓘ |
| appliesToLine | Red Line ⓘ |
| associatedStationCodeSystem | MBTA Red Line station codes ⓘ |
| associatedStationName | Ashmont ⓘ |
| codeType |
internal station identifier
ⓘ
operational code ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| fareSystem | MBTA subway fare system ⓘ |
| hasStationRole | terminal branch station identifier ⓘ |
| identifies | Ashmont station ⓘ |
| lineColor | Red ⓘ |
| locationCity | Boston ⓘ |
| locationState | Massachusetts ⓘ |
| mode | subway ⓘ |
| network |
Boston MBTA Red Line
ⓘ
linked to:
MBTA Red Line
|
| operator | MBTA ⓘ |
| publicTransitSystem | MBTA ⓘ |
| relatedRoute |
MBTA Red Line Ashmont branch
ⓘ
linked to:
MBTA Ashmont Branch
|
| system |
MBTA rapid transit system
ⓘ
linked to:
MBTA
|
| usedBy |
Massachusetts Bay Transportation Authority
ⓘ
linked to:
MBTA
|
| usedFor |
internal data systems
ⓘ
operations ⓘ scheduling ⓘ |
| usedInRegion | Greater Boston ⓘ |
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: R2 Description of subject: R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.