CPL @1100 (96.0%) on 30-jan-2018 [ "berries contain _" "_ called flavonoids" "clover contains _" "_ including vitamins A" "tea contains powerful _" "_ including Selenium" "_ including green tea" "_ called catechins" "_ including vitamin A" "_ including resveratrol" "_ called anthocyanins" "levels of antioxidant _" "_ called xanthones" "_ are Vitamin E" "_ help protect cells" "_ including Vitamin A" "_ including anthocyanins" "green tea contains _" "_ including vitamin E" "_ help protect the skin" "_ including Vitamins A" "act as potent _" "_ called anthocyanosides" "fruit is packed with _" "_ are Vitamin C" "_ called anthocyanidins" "_ called lutein" "_ called bioflavonoids" "_ help neutralize free radicals" "_ scavenge free radicals" "_ help the skin" "herb contains _" "_ including carotenoids" "_ remove free radicals" "_ are free radical scavengers" "_ including Vitamin E" "_ including polyphenols" "_ protect the skin" "_ are vitamins E" "_ called polyphenols" "Red clover contains _" "rich sources of _" "_ fight free radicals" "_ are vitamin E" "_ are vitamins" "_ help protect the body" ] using natural_antioxidants
relations
NELL has only weak evidence for items listed in grey
CPL @1108 (98.4%) on 07-jun-2018 [ "arg1 and vegetables are rich in arg2" "arg1 and vegetables which contain arg2" "arg1 and vegetables high in arg2" "arg1 and vegetables are high in arg2" "arg1 and vegetables contain arg2" "arg1 and vegetables containing arg2" ] using (fruits, natural_antioxidants)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 with a powerful dose of arg2" "arg1 leaves contain arg2" "arg1 leaves rich in arg2" ] using (tea, natural_antioxidants)