Siemens SWT-3.6-120
E718859
The Siemens SWT-3.6-120 is an offshore wind turbine model with a 3.6 MW rated capacity and a 120-meter rotor diameter, widely used in large-scale wind farms such as the London Array.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Siemens SWT-3.6-120 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8213198 — 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: Siemens SWT-3.6-120 Context triple: [London Array, turbineModel, Siemens SWT-3.6-120]
-
A.
Siemens SWT-3.6-107
The Siemens SWT-3.6-107 is an offshore wind turbine model with a 3.6 MW rated capacity and a 107-meter rotor diameter, widely used in large-scale European wind farms.
-
B.
Vestas V90-3.0 MW
The Vestas V90-3.0 MW is a widely used 3-megawatt offshore and onshore wind turbine model designed for high efficiency and reliability in large-scale wind power projects.
-
C.
Vestas V80
The Vestas V80 is a widely used 2 MW-class onshore and offshore wind turbine model developed by Danish manufacturer Vestas for commercial-scale wind power generation.
-
D.
Siemens SD100
The Siemens SD100 is a light rail vehicle model built by Siemens for use on urban trolley and light rail systems such as the San Diego Trolley.
-
E.
Siemens SD-160
The Siemens SD-160 is a high-floor light rail vehicle widely used in North American transit systems, including Calgary’s CTrain, known for its modular design and reliable urban service.
- 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: Siemens SWT-3.6-120 Target entity description: The Siemens SWT-3.6-120 is an offshore wind turbine model with a 3.6 MW rated capacity and a 120-meter rotor diameter, widely used in large-scale wind farms such as the London Array.
-
A.
Siemens SWT-3.6-107
The Siemens SWT-3.6-107 is an offshore wind turbine model with a 3.6 MW rated capacity and a 107-meter rotor diameter, widely used in large-scale European wind farms.
-
B.
Vestas V90-3.0 MW
The Vestas V90-3.0 MW is a widely used 3-megawatt offshore and onshore wind turbine model designed for high efficiency and reliability in large-scale wind power projects.
-
C.
Vestas V80
The Vestas V80 is a widely used 2 MW-class onshore and offshore wind turbine model developed by Danish manufacturer Vestas for commercial-scale wind power generation.
-
D.
Siemens SD100
The Siemens SD100 is a light rail vehicle model built by Siemens for use on urban trolley and light rail systems such as the San Diego Trolley.
-
E.
Siemens SD-160
The Siemens SD-160 is a high-floor light rail vehicle widely used in North American transit systems, including Calgary’s CTrain, known for its modular design and reliable urban service.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | offshore wind turbine model ⓘ |
| application | offshore wind farms ⓘ |
| bladeCount | 3 ⓘ |
| bladeMaterial | fiber-reinforced composite ⓘ |
| brand | Siemens NERFINISHED ⓘ |
| countryOfManufacturer | Germany NERFINISHED ⓘ |
| deploymentEnvironment |
near-shore
ⓘ
offshore ⓘ |
| designedFor |
large wind farms
ⓘ
offshore conditions ⓘ |
| emissionsDuringOperation | zero direct CO2 emissions ⓘ |
| energyConversion | kinetic energy of wind to electrical energy ⓘ |
| energySourceType | renewable ⓘ |
| energyTechnologyType | wind energy technology ⓘ |
| gridConnection | AC grid ⓘ |
| gridIntegration | high-voltage offshore substations ⓘ |
| gridUse | utility grid supply ⓘ |
| hasComponent |
blades
ⓘ
control system ⓘ gearbox ⓘ generator ⓘ nacelle ⓘ rotor ⓘ tower ⓘ |
| hasRotorDiameterClass | 120-meter class ⓘ |
| manufacturer | Siemens Wind Power NERFINISHED ⓘ |
| marketSegment | utility-scale wind power ⓘ |
| nacelleLocation | top of tower ⓘ |
| notableProject | London Array Phase 1 NERFINISHED ⓘ |
| ownerOfBrand | Siemens AG NERFINISHED ⓘ |
| powerClass | multi-megawatt turbine ⓘ |
| powerTrainType | geared drive ⓘ |
| primaryEnergySource | wind ⓘ |
| ratedPower |
3.6 MW
ⓘ
3600 kW ⓘ |
| rotorDiameter | 120 m ⓘ |
| rotorType | horizontal-axis ⓘ |
| sector |
electric power industry
ⓘ
offshore wind industry ⓘ |
| series | SWT-3.6 platform ⓘ |
| status | commercially deployed ⓘ |
| technologyArea | renewable energy ⓘ |
| turbineType | variable-speed wind turbine ⓘ |
| typicalProjectType | offshore wind farm ⓘ |
| typicalUse | commercial power generation ⓘ |
| usedFor | electricity generation ⓘ |
| usedIn |
London Array
NERFINISHED
ⓘ
large-scale offshore wind farms ⓘ |
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: Siemens SWT-3.6-120 Description of subject: The Siemens SWT-3.6-120 is an offshore wind turbine model with a 3.6 MW rated capacity and a 120-meter rotor diameter, widely used in large-scale wind farms such as the London Array.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.