Classifier Instance:

Anchor text: Gibbs Aquada
Target Entity: Gibbs_Aquada
Preceding Context: Purely recreational amphibian cars include the 1960s Amphicar and the contemporary
Succeeding Context: . With almost 4.000 pieces built, the Amphicar is still the most successfully produced civilian amphibious car to date. The Gibbs Aquada stands out due to its capability of high speed planing on water. Gibbs built a couple dozen Aquadas in the early 2000s after it was developed by a team assembled by founder Alan Gibbs before the company's engine supplier, Rover, was unable to continue providing engines. Gibbs and new partner Neil Jenkins reconstituted the company and are now seeking U.S. regulatory approval for the Aquada. http://www.thedetroitbureau.com/2010/07/carboat-stalled-gibbs-to-launch-amphibious-atv/
Paragraph Title: Cars
Source Page: Amphibious vehicle

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_1000219391.2036221124190307 1
wordnet_instrumentality_1035752402.10296822687187 1
wordnet_conveyance_1031004901.8456005648321094 1
wordnet_vehicle_1045243131.6762131962772038 1
wordnet_military_vehicle_103764276-1.5033265742276334 0
wordnet_craft_103125870-1.8588497693482615 0
wordnet_wheeled_vehicle_1045762110.8304275867719214 1
wordnet_self\u002dpropelled_vehicle_1041700371.357958244079813 1
wordnet_motor_vehicle_1037912351.0914016456501006 1
wordnet_car_102958343-0.39543259324041297 0
wordnet_locomotive_103684823-1.1028890445796082 0
wordnet_medium_106254669-1.889393621164574 0
wordnet_device_103183080-2.0446414440706695 0
wordnet_container_1030945031.045319701918388 1
wordnet_wheeled_vehicle_1045762111.666669817672483 1
wordnet_self\u002dpropelled_vehicle_1041700371.357958244079813 1
wordnet_motor_vehicle_1037912351.0914016456501006 1
wordnet_car_102958343-0.39543259324041297 0
wordnet_locomotive_103684823-1.1028890445796082 0
wordnet_equipment_103294048-1.8086699627181515 0
wordnet_system_104377057-1.6570035134136298 0
wordnet_structure_104341686-2.647386588140944 0
wordnet_facility_103315023-2.310102514360085 0
wordnet_creation_103129123-2.0262599766420575 0
wordnet_article_100022903-1.8848619627123808 0
wordnet_commodity_103076708-1.8212513348228916 0
wordnet_way_104564698-2.2398558745907846 0
wordnet_covering_103122748-1.845982298587789 0
wordnet_event_100029378-1.4133460323172098 0
wordnet_organization_108008335-1.8408875837425038 0
wordnet_person_100007846-1.1213328116356354 0
yagoGeoEntity-2.724948554451825 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