Classifier Instance:

Anchor text: Bay Area Rapid Transit
Target Entity: Bay_Area_Rapid_Transit
Preceding Context: In modern uses, certain isolated occurrences of non-standard gauges can still be found, such as the Pennsylvania trolley gauge. The
Succeeding Context: (BART) system in the San Francisco Bay Area chose gauge. The San Francisco cable cars use a narrow gauge of .
Paragraph Title: null
Source Page: Broad gauge

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_organization_108008335
|  |  |---wordnet_enterprise_108056231
|  |  |  |---wordnet_business_108061042
|  |  |  |  |---wordnet_carrier_108057633
|  |  |  |  |  |---wordnet_line_103671473
|  |  |  |  |  |  |---wordnet_railway_104048568

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-1.5976680265766154 0
wordnet_event_100029378-1.3494373583808519 0
wordnet_organization_1080083350.8332923301105978 1
wordnet_nongovernmental_organization_108009834-1.6105781425969927 0
wordnet_unit_108189659-0.97376432452309 0
wordnet_institution_108053576-1.54837067733383 0
wordnet_musical_organization_108246613-1.2655711606210764 0
wordnet_enterprise_1080562311.0771758069897588 1
wordnet_business_1080610421.1724380535267143 1
wordnet_carrier_1080576331.3986153006442585 1
wordnet_line_1036714731.6621307285253117 1
wordnet_railway_1040485681.2903187348224703 1
wordnet_airline_102690081-1.3090647054663538 0
wordnet_chain_108057816-1.2934424614692124 0
wordnet_manufacturer_108060446-1.563802095539435 0
wordnet_firm_108059870-1.2604129910631645 0
wordnet_agency_108057206-0.9572829187656665 0
wordnet_commercial_enterprise_108065093-1.0773738960851131 0
wordnet_association_108049401-1.6714786595165034 0
wordnet_polity_108050385-1.4744315333052498 0
wordnet_party_108256968-1.0699609965358319 0
wordnet_force_108208016-1.5495401329095997 0
wordnet_company_108187033-1.4862056989055665 0
wordnet_deputation_108402442-1.5920829931154796 0
wordnet_union_108233056-1.3782312253541122 0
wordnet_alliance_108293982-1.419498114725516 0
wordnet_person_100007846-2.1435294758908676 0
yagoGeoEntity-1.1624165919195897 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |  |---wordnet_nongovernmental_organization_108009834
|  |  |---wordnet_unit_108189659
|  |  |---wordnet_institution_108053576
|  |  |---wordnet_musical_organization_108246613
|  |  |---wordnet_enterprise_108056231
|  |  |  |---wordnet_business_108061042
|  |  |  |  |---wordnet_carrier_108057633
|  |  |  |  |  |---wordnet_line_103671473
|  |  |  |  |  |  |---wordnet_railway_104048568
|  |  |  |  |  |  |---wordnet_airline_102690081
|  |  |  |  |---wordnet_chain_108057816
|  |  |  |  |---wordnet_manufacturer_108060446
|  |  |  |  |---wordnet_firm_108059870
|  |  |  |  |---wordnet_agency_108057206
|  |  |  |---wordnet_commercial_enterprise_108065093
|  |  |---wordnet_association_108049401
|  |  |---wordnet_polity_108050385
|  |  |---wordnet_party_108256968
|  |  |---wordnet_force_108208016
|  |  |---wordnet_company_108187033
|  |  |---wordnet_deputation_108402442
|  |  |---wordnet_union_108233056
|  |  |---wordnet_alliance_108293982
|  |---wordnet_person_100007846
|  |---yagoGeoEntity