Classifier Instance:

Anchor text: BMP-3
Target Entity: BMP\u002d3
Preceding Context: In September 2008, Russia provided Venezuela with a $1 billion loan to buy Russian weapons. A Kremlin source said "The Russian side has made the decision to extend to Venezuela a $1 billion loan for a military cooperation program." There is a lot of speculation about which weapons will be bought with that loan. Venezuela has shown interest on the following weapons: TOR-M1 SAM systems, T-72 tanks, Su-35 jet fighters and Il-76 military cargo aircraft. Despite of the interest and the Russian credit line, no deal has been finalized. In October 2008 Rosoboronexport informed that Venezuela was close to buying among other things a "large shipment of
Succeeding Context: " infantry fighting vehicles, however that deal too wasn't finalized.
Paragraph Title: Russian loans and the Chinese K-8W light jet
Source Page: National Armed Forces of the Bolivarian Republic of Venezuela

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_1000219390.5573531017474233 1
wordnet_instrumentality_1035752402.4134393971177026 1
wordnet_conveyance_1031004900.8089084680210831 1
wordnet_vehicle_1045243131.4459242837842585 1
wordnet_military_vehicle_103764276-0.7577789375389579 0
wordnet_craft_103125870-1.708131639160154 0
wordnet_wheeled_vehicle_1045762110.8298079707384495 1
wordnet_self\u002dpropelled_vehicle_1041700371.1244166422935653 1
wordnet_motor_vehicle_1037912350.14578644998255758 1
wordnet_car_102958343-0.7189260961726565 0
wordnet_locomotive_103684823-1.1980750335553094 0
wordnet_medium_106254669-2.2086236626408837 0
wordnet_device_103183080-1.8986685802027092 0
wordnet_container_1030945030.665720101372568 1
wordnet_wheeled_vehicle_1045762111.3726714206422037 1
wordnet_self\u002dpropelled_vehicle_1041700371.1244166422935653 1
wordnet_motor_vehicle_1037912350.14578644998255758 1
wordnet_car_102958343-0.7189260961726565 0
wordnet_locomotive_103684823-1.1980750335553094 0
wordnet_equipment_103294048-1.7499783892304868 0
wordnet_system_104377057-1.3253540442914213 0
wordnet_structure_104341686-2.3319901518703743 0
wordnet_facility_103315023-1.899294573597526 0
wordnet_creation_103129123-2.8517832338637223 0
wordnet_article_100022903-1.6733585770452333 0
wordnet_commodity_103076708-1.69300633137448 0
wordnet_way_104564698-2.3879497380892367 0
wordnet_covering_103122748-1.6042646621069754 0
wordnet_event_100029378-1.9980961263206487 0
wordnet_organization_108008335-1.9803917805494071 0
wordnet_person_100007846-2.5477392181667353 0
yagoGeoEntity-2.1678778581333744 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