Kiest station
E714134
Kiest station is a Dallas Area Rapid Transit (DART) light rail stop on the Green Line serving the Kiest Boulevard area in Dallas, Texas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kiest station canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T8134403 — 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: Kiest station Context triple: [Green Line (DART), hasStation, Kiest station]
-
A.
Stellingen station
Stellingen station is a railway and S-Bahn station in Hamburg, Germany, serving as a key access point for visitors traveling to events at the nearby Volksparkstadion.
-
B.
King station
King station is a downtown Toronto subway station on the TTC network serving the Financial District and nearby attractions.
-
C.
Kedzie station
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
-
D.
Opera station
Opera station is an underground metro stop in central Budapest, located near the Hungarian State Opera House and served by the historic M1 (Millennium Underground) line.
-
E.
Múzquiz station
Múzquiz station is a Mexico City Metro station serving passengers on Line B in the northeastern part of the metropolitan area.
- 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: Kiest station Target entity description: Kiest station is a Dallas Area Rapid Transit (DART) light rail stop on the Green Line serving the Kiest Boulevard area in Dallas, Texas.
-
A.
Stellingen station
Stellingen station is a railway and S-Bahn station in Hamburg, Germany, serving as a key access point for visitors traveling to events at the nearby Volksparkstadion.
-
B.
King station
King station is a downtown Toronto subway station on the TTC network serving the Financial District and nearby attractions.
-
C.
Kedzie station
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
-
D.
Opera station
Opera station is an underground metro stop in central Budapest, located near the Hungarian State Opera House and served by the historic M1 (Millennium Underground) line.
-
E.
Múzquiz station
Múzquiz station is a Mexico City Metro station serving passengers on Line B in the northeastern part of the metropolitan area.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
Dallas Area Rapid Transit station
ⓘ
light rail station ⓘ |
| accessible | yes ⓘ |
| category |
DART Green Line stations
ⓘ
linked to:
DART Green Line
Railway stations in Dallas ⓘ Railway stations in Texas ⓘ |
| continent | North America ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| fareSystem | DART fare system ⓘ |
| hasBicycleFacilities | yes ⓘ |
| hasParking | yes ⓘ |
| locatedIn |
Dallas County, Texas
ⓘ
Dallas, Texas ⓘ Texas ⓘ United States ⓘ
linked to:
United States of America
|
| numberOfPlatforms | 1 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 2006 ⓘ |
| operator | Dallas Area Rapid Transit ⓘ |
| ownedBy | Dallas Area Rapid Transit ⓘ |
| parkingType | surface lot ⓘ |
| partOf |
DART Light Rail system
ⓘ
linked to:
DART Light Rail
|
| platformType | island platform ⓘ |
| publicTransitSystem | Dallas Area Rapid Transit ⓘ |
| railLine | DART Green Line ⓘ |
| serves | Kiest Boulevard area ⓘ |
| servesCity | Dallas ⓘ |
| structureType | at-grade station ⓘ |
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: Kiest station Description of subject: Kiest station is a Dallas Area Rapid Transit (DART) light rail stop on the Green Line serving the Kiest Boulevard area in Dallas, Texas.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.