Classifier Instance:

Anchor text: RAF
Target Entity: Royal_Air_Force
Preceding Context: The Predictor proved to be able to hit practically anything that flew in a straight line, and it was particularly effective against dive bombers. However, it was also very complex, including over 1,000 precision parts and weighing over , even though much of it was made of aluminum to reduce weight. With the demands of the
Succeeding Context: for almost all light metals and machinists, the Predictor was far too difficult for the Army to produce in any quantity.
Paragraph Title: null
Source Page: Kerrison Predictor

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_organization_108008335
|  |  |---wordnet_unit_108189659
|  |  |  |---wordnet_military_unit_108198398
|  |  |  |  |---wordnet_military_unit_108198398_rest
|  |  |---wordnet_force_108208016
|  |  |  |---wordnet_military_service_108198137
|  |  |  |  |---wordnet_military_service_108198137_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-0.7705068074851068 0
wordnet_event_100029378-0.94831787615378 0
wordnet_organization_1080083351.104150618195401 1
wordnet_nongovernmental_organization_108009834-3.6016267659075636 0
wordnet_unit_1081896590.9228142371641949 1
wordnet_military_unit_1081983981.5314100679818141 1
wordnet_army_unit_108190754-1.5916779544663981 0
wordnet_family_108078020-1.9379077236832845 0
wordnet_administrative_unit_108077292-2.2214991901549594 0
wordnet_team_108208560-1.090619676384652 0
wordnet_political_unit_108359949-2.221804331343391 0
wordnet_institution_108053576-0.9311008892316056 0
wordnet_musical_organization_108246613-3.654916403240579 0
wordnet_enterprise_108056231-0.8680063668042944 0
wordnet_association_108049401-1.3577841697815367 0
wordnet_polity_108050385-2.577592181605896 0
wordnet_party_108256968-2.504360614619443 0
wordnet_force_1082080161.161252427920638 1
wordnet_military_service_1081981371.2177898936393272 1
wordnet_army_108191230-1.0368304762184377 0
wordnet_company_108187033-2.4391728588596617 0
wordnet_deputation_108402442-2.052537550585305 0
wordnet_union_108233056-1.941659904062203 0
wordnet_alliance_108293982-1.9586066894084737 0
wordnet_person_100007846-1.6383584527208028 0
yagoGeoEntity-0.9506981720450863 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |  |---wordnet_nongovernmental_organization_108009834
|  |  |---wordnet_unit_108189659
|  |  |  |---wordnet_military_unit_108198398
|  |  |  |  |---wordnet_army_unit_108190754
|  |  |  |---wordnet_family_108078020
|  |  |  |---wordnet_administrative_unit_108077292
|  |  |  |---wordnet_team_108208560
|  |  |  |---wordnet_political_unit_108359949
|  |  |---wordnet_institution_108053576
|  |  |---wordnet_musical_organization_108246613
|  |  |---wordnet_enterprise_108056231
|  |  |---wordnet_association_108049401
|  |  |---wordnet_polity_108050385
|  |  |---wordnet_party_108256968
|  |  |---wordnet_force_108208016
|  |  |  |---wordnet_military_service_108198137
|  |  |  |  |---wordnet_army_108191230
|  |  |---wordnet_company_108187033
|  |  |---wordnet_deputation_108402442
|  |  |---wordnet_union_108233056
|  |  |---wordnet_alliance_108293982
|  |---wordnet_person_100007846
|  |---yagoGeoEntity