Classifier Instance:

Anchor text: LARC-V
Target Entity: LARC\u002dV
Preceding Context: For taking vehicles and supplies onto the beaches the US used the 1950s designed
Succeeding Context: and the huge LARC-LX or "BARC". At long and wide the latter is one of the largest wheeled amphibians to date. It could carry up to 100 tons of cargo or 200 people, but a more typical load was 60 tons of cargo or 120 people. The vehicle was powered by four V8 diesel engines positioned in the sides of the hull, each driving a single wheel.
Paragraph Title: Trucks and barges
Source Page: Amphibious vehicle

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_conveyance_103100490
|  |  |  |  |---wordnet_vehicle_104524313
|  |  |  |  |  |---wordnet_military_vehicle_103764276
|  |  |  |  |  |  |---wordnet_military_vehicle_103764276_rest
|  |  |  |  |  |---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_1000219391.838854777535114 1
wordnet_instrumentality_1035752402.3028526193493897 1
wordnet_conveyance_1031004901.8255500119319443 1
wordnet_vehicle_1045243131.5336860366966578 1
wordnet_military_vehicle_1037642760.40153881555900944 1
wordnet_warship_104552696-0.35979735975883165 0
wordnet_craft_103125870-1.0494089049367537 0
wordnet_wheeled_vehicle_1045762110.9308670382506025 1
wordnet_self\u002dpropelled_vehicle_1041700371.0595364296335315 1
wordnet_motor_vehicle_1037912350.7442066570998318 1
wordnet_car_102958343-0.30235582789477433 0
wordnet_locomotive_103684823-1.2482865942850243 0
wordnet_medium_106254669-2.1472742594077943 0
wordnet_device_103183080-1.7638327356041936 0
wordnet_container_1030945031.1647317416815706 1
wordnet_wheeled_vehicle_1045762111.189725882227565 1
wordnet_self\u002dpropelled_vehicle_1041700371.0595364296335315 1
wordnet_motor_vehicle_1037912350.7442066570998318 1
wordnet_car_102958343-0.30235582789477433 0
wordnet_locomotive_103684823-1.2482865942850243 0
wordnet_equipment_103294048-1.4110941247682238 0
wordnet_system_104377057-1.7432036280438135 0
wordnet_structure_104341686-2.31785348055688 0
wordnet_facility_103315023-2.122396396356641 0
wordnet_creation_103129123-2.5701123312887306 0
wordnet_article_100022903-1.6473299829060626 0
wordnet_commodity_103076708-1.559377280166796 0
wordnet_way_104564698-2.0214898564619284 0
wordnet_covering_103122748-1.3739532233191873 0
wordnet_event_100029378-1.9051177504611996 0
wordnet_organization_108008335-1.7049992584671783 0
wordnet_person_100007846-1.7068314042773052 0
yagoGeoEntity-1.7591858464111823 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_conveyance_103100490
|  |  |  |  |---wordnet_vehicle_104524313
|  |  |  |  |  |---wordnet_military_vehicle_103764276
|  |  |  |  |  |  |---wordnet_warship_104552696
|  |  |  |  |  |---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