Classifier Instance:

Anchor text: 8.8 cm FlaK 18, 36 gun
Target Entity: 8\u002e8_cm_FlaK_18\u002f36\u002f37\u002f41
Preceding Context: Unlike the heavier guns, these smaller weapons are in widespread use due to their low cost and ability to quickly follow the target. Classic examples of autocannons and large caliber guns are the 40 mm autocannon and the
Succeeding Context: , both designed by Bofors of Sweden. Artillery weapons of this sort have for the most part been superseded by the effective surface-to-air missile systems that were introduced in the 1950s, although they were still retained by many nations. The development of surface-to-air missiles began in Nazi Germany during the late World War II with missiles such as the Wasserfall, though no working system was deployed before the war's end, and represented new attempts to increase effectiveness of the anti-aircraft systems faced with growing threat from bombers. Land-based SAMs can be deployed from fixed installations or mobile launchers, either wheeled or tracked. The tracked vehicles are usually armoured vehicles specifically designed to carry SAMs.
Paragraph Title: AA warfare systems
Source Page: Anti-aircraft warfare

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_device_103183080
|  |  |  |  |---wordnet_instrument_103574816
|  |  |  |  |  |---wordnet_weapon_104565375
|  |  |  |  |  |  |---wordnet_gun_103467984
|  |  |  |  |  |  |  |---wordnet_gun_103467984_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_1000219390.35911637731220075 1
wordnet_instrumentality_1035752401.2371563680015862 1
wordnet_conveyance_1031004900.03772553572156257 1
wordnet_vehicle_1045243131.597411795758633 1
wordnet_military_vehicle_103764276-0.03508162879717345 0
wordnet_craft_103125870-0.7964667929080642 0
wordnet_wheeled_vehicle_1045762110.08740165309148937 1
wordnet_self\u002dpropelled_vehicle_1041700371.1315787036705636 1
wordnet_motor_vehicle_103791235-0.12903647065474852 0
wordnet_locomotive_103684823-1.0088578597377824 0
wordnet_medium_106254669-1.9819756169876084 0
wordnet_device_103183080-0.021935157368591553 0
wordnet_container_103094503-0.3960959127072687 0
wordnet_equipment_103294048-0.7261503515834388 0
wordnet_system_104377057-1.0343945387029683 0
wordnet_structure_104341686-1.2088958587099312 0
wordnet_facility_103315023-1.384000709162843 0
wordnet_creation_103129123-1.4345510972905804 0
wordnet_article_100022903-1.4368802089158357 0
wordnet_commodity_103076708-0.7866754609267391 0
wordnet_way_104564698-1.2956111005563224 0
wordnet_covering_103122748-1.363408230183791 0
wordnet_event_100029378-1.0721967559197554 0
wordnet_organization_108008335-0.7482483314703577 0
wordnet_person_100007846-1.1803417870175132 0
yagoGeoEntity-1.4753060481051927 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_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_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