many_individuals (magazine)

literal strings: Many individuals

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• many_individuals participated in the event result (eventoutcome)     
• many_individuals is a company in the economic sector of insurance (economicsector)     

categories

NELL has only weak evidence for items listed in grey

• magazine
• CPL @1109 (61.5%) on 12-jun-2018 [ "_ enjoy this hobby" "_ burn candles" "_ buy timeshares" "_ hear the term" "_ living with" "_ think meditation" "_ get concerned about" "_ use Facebook" "_ dislike change" "_ do n't click on" "_ have sedentary jobs" "_ don’t think about" "_ start blogs" "_ are buying things" "_ have been displaced from" "_ overlook the importance" "_ have misconceptions" "_ rather deal with" "_ immediately think of" "_ have died in" "_ get obsessed with" "_ arent aware" "_ learn best in" "_ only use cell phones" "_ have died of" "_ have been killed in" "_ have very strong beliefs" "_ find lots" "_ have been scammed by" "_ use microwave ovens" "_ have the misconception" "_ buy these types" "_ get tattoos" "_ form bad habits" "_ have had bad experiences" "_ become ignorant" "_ have this idea" "_ are buying bottled water" "_ prefer the look" "_ just don’t have the time" "_ don’t realize the importance" "_ were given mortgages" "_ start online businesses" "_ have the false idea" "_ are allergic" "_ feel a whole lot better" "_ find acupuncture" "_ experience this side effect" "_ have the notion" "_ have left comments" "_ experience different types" "_ have a dread" ] using many_individuals

relations

• agentparticipatedinevent
• result (eventoutcome) (96.9%)
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 are injured as arg2" "arg1 have suffered as arg2" "arg1 injured as arg2" "arg1 died as arg2" "arg1 have died as arg2" ] using (many_individuals, result)
• companyeconomicsector
• insurance (96.9%)
• CPL @1098 (96.9%) on 21-jan-2018 [ "arg1 own some form of life arg2" "arg1 purchase term life arg2" "arg1 think that life arg2" "arg1 purchase life arg2" "arg1 take out life arg2" ] using (many_individuals, insurance)

NELL has only weak evidence for items listed in grey

• geopoliticallocationcontainsstate
• states
• CPL @1097 (75.0%) on 19-jan-2018 [ "arg2 and families in the United arg1" "arg2 and families across the United arg1" ] using (states, many_individuals)
• inverseofbacteriaisthecausativeagentofphysiologicalcondition
• hcv
• CPL @1095 (50.0%) on 17-jan-2018 [ "arg2 with HBV and arg1" ] using (hcv, many_individuals)
• companyeconomicsector
• care_coverage
• CPL @1108 (75.0%) on 07-jun-2018 [ "arg1 obtain health arg2" "arg1 without health arg2" ] using (many_individuals, care_coverage)
• agentparticipatedinevent
• result (artery)
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 are injured as arg2" "arg1 have suffered as arg2" "arg1 injured as arg2" "arg1 died as arg2" "arg1 have died as arg2" ] using (many_individuals, result)
• result (disease)
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 are injured as arg2" "arg1 have suffered as arg2" "arg1 injured as arg2" "arg1 died as arg2" "arg1 have died as arg2" ] using (many_individuals, result)
• result (mlmetric)
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 are injured as arg2" "arg1 have suffered as arg2" "arg1 injured as arg2" "arg1 died as arg2" "arg1 have died as arg2" ] using (many_individuals, result)
• result (perceptionevent)
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 are injured as arg2" "arg1 have suffered as arg2" "arg1 injured as arg2" "arg1 died as arg2" "arg1 have died as arg2" ] using (many_individuals, result)
• result (physicalaction)
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 are injured as arg2" "arg1 have suffered as arg2" "arg1 injured as arg2" "arg1 died as arg2" "arg1 have died as arg2" ] using (many_individuals, result)
• result (planet)
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 are injured as arg2" "arg1 have suffered as arg2" "arg1 injured as arg2" "arg1 died as arg2" "arg1 have died as arg2" ] using (many_individuals, result)
• result (programminglanguage)
• CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 are injured as arg2" "arg1 have suffered as arg2" "arg1 injured as arg2" "arg1 died as arg2" "arg1 have died as arg2" ] using (many_individuals, result)