Classifier Instance:

Anchor text: Mistral
Target Entity: Mistral_\u0028missile\u0029
Preceding Context: Besides having vehicles of their own design as well as American models, the ROK Army also has several Russian-built AFVs, including BMP-3 IFVs and T-80U MBTs. Although they are in active service with the Army, most of them were purchased in order to experiment their technology to be fitted with the ROK's XK2 MBT, such as the Explosive Reactive Armor blocks mounted on several Russian armored vehicles. However, the ROK Army is continuing their purchase of Russian equipment, as their recent addition of two BMP-3U IFVs hints. Other notable foreign equipment in service with the ROK Army includes the TOW ATGM launchers and
Succeeding Context: MANPADS.
Paragraph Title: null
Source Page: Republic of Korea Armed Forces

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_conveyance_103100490
|  |  |  |  |---wordnet_vehicle_104524313
|  |  |  |  |  |---wordnet_vehicle_104524313_rest
|  |  |  |---wordnet_device_103183080
|  |  |  |  |---wordnet_instrument_103574816
|  |  |  |  |  |---wordnet_weapon_104565375
|  |  |  |  |  |  |---wordnet_weapon_104565375_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_1000219390.30622800666770134 1
wordnet_instrumentality_1035752402.3582220533625944 1
wordnet_conveyance_1031004900.28960458597478533 1
wordnet_vehicle_1045243132.124543321309248 1
wordnet_military_vehicle_103764276-1.7266364786229567 0
wordnet_craft_103125870-0.9192767900834526 0
wordnet_wheeled_vehicle_1045762110.5702226902307689 1
wordnet_self\u002dpropelled_vehicle_1041700371.3561196536742457 1
wordnet_motor_vehicle_1037912350.6181996427719261 1
wordnet_car_102958343-0.14639857674558746 0
wordnet_locomotive_103684823-1.4427393554134436 0
wordnet_medium_106254669-1.5575281397622311 0
wordnet_device_103183080-0.11799615533879322 0
wordnet_container_103094503-0.3942200107989838 0
wordnet_equipment_103294048-2.492022204968507 0
wordnet_system_104377057-2.5400572124275937 0
wordnet_structure_104341686-3.1410931172423315 0
wordnet_facility_103315023-2.843041798367671 0
wordnet_creation_103129123-3.490236200169035 0
wordnet_article_100022903-2.2062747043725373 0
wordnet_commodity_103076708-2.2501628732763646 0
wordnet_way_104564698-2.3522697367032617 0
wordnet_covering_103122748-2.2360553481085814 0
wordnet_event_100029378-0.4299278189578958 0
wordnet_organization_108008335-3.0115339157696215 0
wordnet_person_100007846-0.9480807937437232 0
yagoGeoEntity-3.156628338308787 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