public_sector (transportation)

literal strings: Public Sector, public sector, Public sector, public-sector

categories

NELL has only weak evidence for items listed in grey

• transportation
• SEAL @530 (75.0%) on 12-mar-2012 [ 1 2 ] using public_sector

relations

NELL has only weak evidence for items listed in grey

• economicsectorcompany
• northern_trust
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg2 organisations including arg1" "arg2 organisations like arg1" "arg2 organisation like arg1" "arg2 organisations such as arg1" "arg2 organizations such as arg1" ] using (nhs, public_sector)
• state_bank
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 banks like arg1" "arg2 banks including arg1" "arg2 banking giant arg1" "arg2 banks such as arg1" ] using (state_bank, public_sector)
• union_bank
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 banks such as arg1" "arg2 banks like arg1" ] using (union_bank, public_sector)
• air_india
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 companies such as arg1" "arg2 firms such as arg1" "arg2 organisations like arg1" "arg2 companies like arg1" ] using (air_india, public_sector)
• bsnl
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 company such as arg1" "arg2 companies such as arg1" "arg2 firms like arg1" "arg2 companies like arg1" ] using (bsnl, public_sector)
• generalizationof
• professionals
• CPL @904 (75.0%) on 19-feb-2015 [ "arg2 and allied healthcare arg1" "arg2 and allied health care arg1" ] using (professionals, public_sector)
• organizationalsoknownas
• decision (governmentorganization)
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 makers and professionals in arg2" ] using (decision, public_sector)
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 makers and professionals in arg2" ] using (public_sector, decision)
• decision (stateorprovince)
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 makers and professionals in arg2" ] using (decision, public_sector)
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 makers and professionals in arg2" ] using (public_sector, decision)