CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" ] using (mr__green, state_university)
CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
NELL has only weak evidence for items listed in grey
CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" ] using (mr__green, state_university)
CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" ] using (mr__green, state_university)
CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" ] using (mr__green, state_university)
CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" ] using (mr__green, state_university)
CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is a graduate of Louisiana arg2" "arg1 attended Louisiana arg2" "arg1 is a graduate of Michigan arg2" "arg1 graduated from Washington arg2" "arg1 is a graduate of arg2" ] using (mr__green, state_university)