several_people (magazine)

literal strings: Several people, Several People, several people, several People

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• several_people participated in the event result (eventoutcome)     

categories

NELL has only weak evidence for items listed in grey

• publication
• CPL @1114 (86.3%) on 18-aug-2018 [ "_ attended the event" "_ were sickened in" "_ get dogs" "_ have died in" "_ were injured in" "_ have answered this question" "_ have been killed after" "_ here complain about" "_ keep chickens" "_ buy things" "_ 's faces" "_ 's lives" "_ were killed in" "_ have the misconception" "_ have left a comment" "_ taking Cipro" "_ visit this city" "_ visit this place" "_ have been killed in" "_ have bought tickets" "_ have had bad experiences" ] using several_people
• magazine
• CPL @1105 (91.2%) on 25-mar-2018 [ "_ attended the event" "_ were sickened in" "_ visit YouTube" "_ visit the state" "_ get dogs" "_ have been quite surprised" "_ walk by on" "_ were arrested on" "_ prefer the look" "_ were arrested for" "_ have drowned at" "_ attended the meeting" "_ have died in" "_ were killed today" "_ were also wounded in" "_ were injured in" "_ have answered this question" "_ living with" "_ have been scammed by" "_ brought lawn chairs" "_ have been killed after" "_ have the notion" "_ here complain about" "_ bought these things" "_ have been killed this way" "_ keep chickens" "_ buy things" "_ milling around" "_ have commented over" "_ 's faces" "_ 's lives" "_ were killed on" "_ were killed in" "_ have the misconception" "_ have been killed across" "_ are walking by" "_ have been asking about" "_ have reported bugs" "_ are still talking about" "_ have misconceptions" "_ visit these places" "_ were wounded in" "_ have blogged about" "_ have left a comment" "_ take cameras" "_ are allergic" "_ walk by without" "_ sign the petition" "_ taking Cipro" "_ visit this city" "_ visit this place" "_ were taking shelter" "_ were arrested in" "_ were milling about" "_ find meaning in" "_ have been killed in" "_ have left comments" "_ have asked similar questions" "_ have bought tickets" "_ have had bad experiences" "_ have been killed by" "_ have died of" ] using several_people

relations

• agentparticipatedinevent
• result (eventoutcome) (100.0%)
• CPL @1080 (100.0%) on 30-nov-2017 [ "arg1 had died as arg2" "arg1 who have died as arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 have been injured as arg2" "arg1 who had died as arg2" "arg1 die as arg2" "arg1 have been killed as arg2" "arg1 dying as arg2" "arg1 died as arg2" "arg1 who suffered as arg2" "arg1 lose their jobs as arg2" "arg1 injured as arg2" ] using (several_people, result)

NELL has only weak evidence for items listed in grey

• sportsteampositionforsport
• baseball
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg2 in major league arg1" ] using (baseball, several_people)
• agentparticipatedinevent
• result (artery)
• CPL @1080 (100.0%) on 30-nov-2017 [ "arg1 had died as arg2" "arg1 who have died as arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 have been injured as arg2" "arg1 who had died as arg2" "arg1 die as arg2" "arg1 have been killed as arg2" "arg1 dying as arg2" "arg1 died as arg2" "arg1 who suffered as arg2" "arg1 lose their jobs as arg2" "arg1 injured as arg2" ] using (several_people, result)
• consequence
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 lost their lives as arg2" ] using (several_people, consequence)
• offences (crimeorcharge)
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 were arrested for public order arg2" ] using (several_people, offences)
• result (disease)
• CPL @1080 (100.0%) on 30-nov-2017 [ "arg1 had died as arg2" "arg1 who have died as arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 have been injured as arg2" "arg1 who had died as arg2" "arg1 die as arg2" "arg1 have been killed as arg2" "arg1 dying as arg2" "arg1 died as arg2" "arg1 who suffered as arg2" "arg1 lose their jobs as arg2" "arg1 injured as arg2" ] using (several_people, result)
• result (mlmetric)
• CPL @1080 (100.0%) on 30-nov-2017 [ "arg1 had died as arg2" "arg1 who have died as arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 have been injured as arg2" "arg1 who had died as arg2" "arg1 die as arg2" "arg1 have been killed as arg2" "arg1 dying as arg2" "arg1 died as arg2" "arg1 who suffered as arg2" "arg1 lose their jobs as arg2" "arg1 injured as arg2" ] using (several_people, result)
• result (perceptionevent)
• CPL @1080 (100.0%) on 30-nov-2017 [ "arg1 had died as arg2" "arg1 who have died as arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 have been injured as arg2" "arg1 who had died as arg2" "arg1 die as arg2" "arg1 have been killed as arg2" "arg1 dying as arg2" "arg1 died as arg2" "arg1 who suffered as arg2" "arg1 lose their jobs as arg2" "arg1 injured as arg2" ] using (several_people, result)
• result (physicalaction)
• CPL @1080 (100.0%) on 30-nov-2017 [ "arg1 had died as arg2" "arg1 who have died as arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 have been injured as arg2" "arg1 who had died as arg2" "arg1 die as arg2" "arg1 have been killed as arg2" "arg1 dying as arg2" "arg1 died as arg2" "arg1 who suffered as arg2" "arg1 lose their jobs as arg2" "arg1 injured as arg2" ] using (several_people, result)
• result (planet)
• CPL @1080 (100.0%) on 30-nov-2017 [ "arg1 had died as arg2" "arg1 who have died as arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 have been injured as arg2" "arg1 who had died as arg2" "arg1 die as arg2" "arg1 have been killed as arg2" "arg1 dying as arg2" "arg1 died as arg2" "arg1 who suffered as arg2" "arg1 lose their jobs as arg2" "arg1 injured as arg2" ] using (several_people, result)
• offences (politicsbill)
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 were arrested for public order arg2" ] using (several_people, offences)
• result (programminglanguage)
• CPL @1080 (100.0%) on 30-nov-2017 [ "arg1 had died as arg2" "arg1 who have died as arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 have been injured as arg2" "arg1 who had died as arg2" "arg1 die as arg2" "arg1 have been killed as arg2" "arg1 dying as arg2" "arg1 died as arg2" "arg1 who suffered as arg2" "arg1 lose their jobs as arg2" "arg1 injured as arg2" ] using (several_people, result)
• security_forces
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 died as arg2" ] using (several_people, security_forces)
• hasspouse
• barbara
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 comforted arg2" ] using (several_people, barbara)
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 comforted arg2" ] using (barbara, several_people)
• isshorterthan
• life
• CPL @1095 (87.5%) on 17-jan-2018 [ "arg2 from all walks of arg1" "arg2 I know in real arg1" "arg2 from all different walks of arg1" ] using (life, several_people)