Classifier Instance:

Anchor text: Bantam
Target Entity: BSA_Bantam
Preceding Context: The motorcycle branch of the company produced very famous models such as the RT 125 pre- and post-World War II, and after the war it still made 175, 250 and 350 models. As reparations after the war, the design drawings of the RT125 were given to Harley-Davidson in the US and BSA in the UK. The Harley-Davidson version was known as the Hummer, while BSA used them for the
Succeeding Context: . IFA and later MZ models continued in production until the 1990s, when economics finally brought production of the two stroke to an end. Other manufacturers also copied the DKW design, officially or otherwise. This can be seen in the similarity of many small two-stroke motorcycles from the 1950s, including a product of Yamaha, Voskhod and Polish WSK.
Paragraph Title: Motorcycles
Source Page: DKW

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_conveyance_103100490
|  |  |  |  |---wordnet_vehicle_104524313
|  |  |  |  |  |---wordnet_wheeled_vehicle_104576211
|  |  |  |  |  |  |---wordnet_self\u002dpropelled_vehicle_104170037
|  |  |  |  |  |  |  |---wordnet_motor_vehicle_103791235
|  |  |  |  |  |  |  |  |---wordnet_motor_vehicle_103791235_rest
|  |  |  |---wordnet_container_103094503
|  |  |  |  |---wordnet_wheeled_vehicle_104576211
|  |  |  |  |  |---wordnet_self\u002dpropelled_vehicle_104170037
|  |  |  |  |  |  |---wordnet_motor_vehicle_103791235
|  |  |  |  |  |  |  |---wordnet_motor_vehicle_103791235_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-0.04681153768295712 0
wordnet_event_100029378-3.5229645632610014 0
wordnet_organization_108008335-0.39341637427008785 0
wordnet_person_100007846-2.3521655642226262 0
yagoGeoEntity0.04079170965433893 1
wordnet_location_1000271670.46468651926288074 1
wordnet_region_1086309850.8712988307589428 1
wordnet_geographical_area_108574314-0.034235846916305886 0
wordnet_area_108497294-3.7794173637225614 0
wordnet_district_108552138-0.30195911100415723 0
wordnet_space_113910384-1.852402952411441 0
wordnet_point_108620061-2.91201105126415 0
wordnet_region_108630039-2.515458982449824 0
wordnet_line_108593262-1.9414008870992085 0
wordnet_structure_104341686-2.545103752646501 0
wordnet_facility_103315023-2.3047923314224095 0
wordnet_body_of_water_109225146-2.748323029204235 0
wordnet_geological_formation_109287968-3.1080493602047357 0
wordnet_way_104564698-2.377690818958269 0
wordnet_land_1093343960.34480810706550924 1
wordnet_island_1093164541.02835287153372 1
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_way_104564698
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity
|  |  |---wordnet_location_100027167
|  |  |  |---wordnet_region_108630985
|  |  |  |  |---wordnet_geographical_area_108574314
|  |  |  |  |---wordnet_area_108497294
|  |  |  |  |---wordnet_district_108552138
|  |  |  |---wordnet_space_113910384
|  |  |  |---wordnet_point_108620061
|  |  |  |---wordnet_region_108630039
|  |  |  |---wordnet_line_108593262
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_body_of_water_109225146
|  |  |---wordnet_geological_formation_109287968
|  |  |---wordnet_way_104564698
|  |  |---wordnet_land_109334396
|  |  |  |---wordnet_island_109316454