Classifier Instance:

Anchor text: Volkswagen Jetta
Target Entity: Volkswagen_Jetta
Preceding Context: The four-stroke diesel engine has been used in the majority of heavy duty applications for many decades. Chief among the reasons for this is that it uses a heavy fuel that contains more energy, requires less refinement, and is cheaper to make (although in some areas of the world diesel fuel costs more than gasoline). The most efficient Otto Cycle engines run near 30% efficiency. The
Succeeding Context: TDI 1.9 liter engine achieves 46%. It uses an advanced design with turbocharging and direct fuel injection. Some BMW ship Diesels with ceramic insulation have exceeded 60% efficiency.
Paragraph Title: Diesel cycle
Source Page: Four-stroke engine

Ground Truth Types:

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|  |  |  |---wordnet_conveyance_103100490
|  |  |  |  |---wordnet_vehicle_104524313
|  |  |  |  |  |---wordnet_wheeled_vehicle_104576211
|  |  |  |  |  |  |---wordnet_self\u002dpropelled_vehicle_104170037
|  |  |  |  |  |  |  |---wordnet_motor_vehicle_103791235
|  |  |  |  |  |  |  |  |---wordnet_car_102958343
|  |  |  |---wordnet_container_103094503
|  |  |  |  |---wordnet_wheeled_vehicle_104576211
|  |  |  |  |  |---wordnet_self\u002dpropelled_vehicle_104170037
|  |  |  |  |  |  |---wordnet_motor_vehicle_103791235
|  |  |  |  |  |  |  |---wordnet_car_102958343

Predicted Types:

TypeConfidenceDecision
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wordnet_wheeled_vehicle_1045762110.8984871038325158 1
wordnet_self\u002dpropelled_vehicle_1041700371.274085670232681 1
wordnet_motor_vehicle_1037912351.387794094451609 1
wordnet_car_1029583430.9790398702809876 1
wordnet_locomotive_103684823-1.0360222803298236 0
wordnet_medium_106254669-2.2213688739895296 0
wordnet_device_103183080-1.6285189205323014 0
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wordnet_self\u002dpropelled_vehicle_1041700371.274085670232681 1
wordnet_motor_vehicle_1037912351.387794094451609 1
wordnet_car_1029583430.9790398702809876 1
wordnet_locomotive_103684823-1.0360222803298236 0
wordnet_equipment_103294048-1.7306236904803318 0
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wordnet_creation_103129123-2.8936851673483006 0
wordnet_article_100022903-1.932468927339957 0
wordnet_commodity_103076708-1.3115790276490769 0
wordnet_way_104564698-2.355013034414094 0
wordnet_covering_103122748-1.6275041390578375 0
wordnet_event_100029378-2.2651261281680877 0
wordnet_organization_108008335-1.5550341341291734 0
wordnet_person_100007846-2.710203835225459 0
yagoGeoEntity-2.158669252971788 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_conveyance_103100490
|  |  |  |  |---wordnet_vehicle_104524313
|  |  |  |  |  |---wordnet_military_vehicle_103764276
|  |  |  |  |  |---wordnet_craft_103125870
|  |  |  |  |  |---wordnet_wheeled_vehicle_104576211
|  |  |  |  |  |  |---wordnet_self\u002dpropelled_vehicle_104170037
|  |  |  |  |  |  |  |---wordnet_motor_vehicle_103791235
|  |  |  |  |  |  |  |  |---wordnet_car_102958343
|  |  |  |  |  |  |  |---wordnet_locomotive_103684823
|  |  |  |---wordnet_medium_106254669
|  |  |  |---wordnet_device_103183080
|  |  |  |---wordnet_container_103094503
|  |  |  |  |---wordnet_wheeled_vehicle_104576211
|  |  |  |  |  |---wordnet_self\u002dpropelled_vehicle_104170037
|  |  |  |  |  |  |---wordnet_motor_vehicle_103791235
|  |  |  |  |  |  |  |---wordnet_car_102958343
|  |  |  |  |  |  |---wordnet_locomotive_103684823
|  |  |  |---wordnet_equipment_103294048
|  |  |  |---wordnet_system_104377057
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_creation_103129123
|  |  |---wordnet_article_100022903
|  |  |---wordnet_commodity_103076708
|  |  |---wordnet_way_104564698
|  |  |---wordnet_covering_103122748
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_way_104564698