n10_000_people (magazine)

literal strings:
  More people, MORE people, More People, more people, more People
  10,000 people, 10,000 People
  million people, Million people, million People, MILLION people

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• n10_000_people is a publication     
• n10_000_people is a company     
• n10_000_people is a magazine     
• n10_000_people participated in the event crimes (crimeorcharge)     
• n10_000_people is a company in the economic sector of insurance (economicsector)     

categories

• publication(100.0%)
• CMC @1108 (100.0%) on 06-jun-2018 [ FULL_POS=CD_NNS 6.94480 PREFIX=peo 2.32364 LASTSUFFIX=ple 2.05260 PREFIX=milli 2.01009 PREFIX=mill 1.94847 LASTPREFIX=peo 1.90067 SUFFIX=ople 1.87367 POS=NNS -1.11948 WORDS -2.36554 SHORT_WORDSHAPE=a -2.84032 ] using million_people
• CPL @1107 (95.2%) on 24-may-2018 [ "_ 's Liberation Army" "_ needing food aid" "_ 's Republic" "_ 's Armed Police" "_ 's Liberation Army soldiers" ] using million_people
• CMC @1108 (100.0%) on 06-jun-2018 [ PREFIX=peo 2.90455 LASTSUFFIX=ple 2.56575 LASTPREFIX=peo 2.37583 SUFFIX=ople 2.34208 SUFFIX=eople 2.34090 LASTSUFFIX=ople 2.04158 LASTSUFFIX=eople 2.04047 POS=NNS -1.39935 SHORT_WORDSHAPE=a -2.84032 WORDS -2.95693 ] using more_people
• CPL @1107 (96.2%) on 24-may-2018 [ "_ 's Liberation Army" "_ are getting interested" "_ have different learning styles" "_ fear the unknown" "_ 's Republic" "_ 's Revolutionary Army" "_ 's Health Movement" ] using more_people
• company(100.0%)
• CMC @947 (100.0%) on 04-sep-2015 [ PREFIX=peop 2.59528 PREFIX=peopl 2.59223 PREFIX=peo 2.50349 LASTPREFIX=peopl 1.90923 LASTPREFIX=peop 1.90923 SUFFIX=ople 1.75784 SUFFIX=eople 1.75513 SUFFIX=re -1.43509 POS=JJR -1.46944 SHORT_WORDSHAPE=a -1.63885 ] using more_people
• CMC @1108 (100.0%) on 06-jun-2018 [ PREFIX=mill 3.78601 FULL_POS=CD_NNS 3.31025 PREFIX=peo 2.08267 PREFIX=peop 2.06775 PREFIX=peopl 2.06501 SUFFIX=ople 1.41383 SUFFIX=eople 1.41134 SUFFIX=le -0.94978 SHORT_WORDSHAPE=a -0.96712 POS=CD -2.11716 ] using million_people
• CPL @1107 (91.7%) on 24-may-2018 [ "_ 's Liberation Army" "_ 's Republic" "_ 's Armed Police" "_ 's Liberation Army soldiers" ] using million_people
• OE @968 (91.7%) on 29-dec-2015 [ http://www.geek.com/news/horrible-new-hexagon-seating-on-planes-aims-to-cram-in-more-people-1627679/ http://filmingcops.com/us-cops-kill-more-people-in-a-day-than-norwegian-cops-have-in-a-decade/ http://filmingcops.com/us-cops-kill-more-people-in-a-day-than-norwegian-cops-have-in-a-decade/ http://www.urbandictionary.com/define.php?term=We+don't+believe+you%2C+you+need+more+people http://www.urbandictionary.com/define.php?term=We+don't+believe+you%2C+you+need+more+people http://filmingcops.com/us-cops-kill-more-people-in-a-day-than-norwegian-cops-have-in-a-decade/ http://filmingcops.com/us-cops-kill-more-people-in-a-day-than-norwegian-cops-have-in-a-decade/ http://www.urbandictionary.com/define.php?term=We+don't+believe+you%2C+you+need+more+people http://www.urbandictionary.com/define.php?term=We+don't+believe+you%2C+you+need+more+people http://www.geek.com/news/horrible-new-hexagon-seating-on-planes-aims-to-cram-in-more-people-1627679/ http://ftw.usatoday.com/2015/10/lakers-nba-betting-cavs-las-vegas http://www.geek.com/news/horrible-new-hexagon-seating-on-planes-aims-to-cram-in-more-people-1627679/ https://hbr.org/2010/06/defend-your-research-the-more-people-want-something-the-less-theyll-like-it  ] using more_people
• OE @1015 (100.0%) on 09-sep-2016 [ http://www.whiteboardmag.com/let-10-000-lights-shine-how-end-users-are-cocreating-innovation-at-philips/ http://www.publicityupdate.co.za/?IDStory=71805 http://www.sfgate.com/crime/article/UCSF-warns-nearly-10-000-people-of-potential-5332722.php http://www.sajr.co.za/news-and-articles/2014/08/04/the-largest-ever-pro-israel-rally-in-africa-draws-10-000-people  ] using n10_000_people
• magazine(97.5%)
• CPL @1105 (98.2%) on 25-mar-2018 [ "_ 's Liberation Army" "_ needing food aid" "_ 's Republic" "_ 's Armed Police" "_ used Opera Mini" "_ living with" "_ are allergic" "_ 's Liberation Army soldiers" ] using million_people
• CMC @1107 (100.0%) on 24-may-2018 [ FULL_POS=CD_NNS 3.76328 SUFFIX=le 2.90386 LASTSUFFIX=le 2.29699 SUFFIX=eople 2.12753 SUFFIX=ople 2.12753 PREFIX=mill 2.07050 PREFIX=milli 2.04792 CHARS -2.89742 WORDS -6.45411 LAST_WORD=people -6.92255 ] using million_people
• CPL @1104 (97.5%) on 18-mar-2018 [ "_ 's Liberation Army" "_ are getting interested" "_ have different learning styles" "_ living with" "_ Interested in" "_ fear the unknown" "_ 's Republic" "_ 's Revolutionary Army" "_ 's Health Movement" ] using more_people
• CPL @1104 (84.9%) on 18-mar-2018 [ "_ 's Liberation Army" "_ 's Armed Police" "_ 's Liberation Army soldiers" ] using n10_000_people

NELL has only weak evidence for items listed in grey

• website
• SEAL @47 (50.0%) on 05-feb-2010 [ 1 ] using more_people

relations

• agentactsinlocation
• new (geopoliticallocation) (93.8%)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• agentparticipatedinevent
• crimes (crimeorcharge) (96.9%)
• CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 who commit violent arg2" "arg1 accused of war arg2" "arg1 convicted of capital arg2" "arg1 convicted of nonviolent arg2" "arg1 from committing violent arg2" ] using (more_people, crimes)
• companyeconomicsector
• insurance (99.9%)
• CPL @1096 (99.9%) on 18-jan-2018 [ "arg1 taking out health arg2" "arg1 are expected to buy health arg2" "arg1 with private health arg2" "arg1 are losing their health arg2" "arg1 losing health arg2" "arg1 lose health arg2" "arg1 are covered by health arg2" "arg1 have lost their health arg2" "arg1 are losing health arg2" "arg1 to buy health arg2" ] using (more_people, insurance)

NELL has only weak evidence for items listed in grey

• agentactsinlocation
• eastern (geopoliticallocation)
• CPL @1097 (50.0%) on 19-jan-2018 [ "arg2 Africa more than DD arg1" ] using (million_people, eastern)
• agentparticipatedinevent
• offenses
• CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 were arrested for marijuana arg2" "arg1 incarcerated for drug arg2" "arg1 were arrested on drug arg2" ] using (million_people, offenses)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 were arrested for marijuana arg2" "arg1 convicted of minor arg2" ] using (more_people, offenses)
• isoneoccurrenceof
• diseases
• CPL @1094 (87.5%) on 01-jan-2018 [ "arg2 with autoimmune arg1" "arg2 living with rare arg1" "arg2 suffering from rare arg1" ] using (diseases, million_people)
• agentactsinlocation
• new (bathroomitem)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (bedroomitem)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (coach)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• eastern (currency)
• CPL @1097 (50.0%) on 19-jan-2018 [ "arg2 Africa more than DD arg1" ] using (million_people, eastern)
• new (election)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• eastern (emotion)
• CPL @1097 (50.0%) on 19-jan-2018 [ "arg2 Africa more than DD arg1" ] using (million_people, eastern)
• new (emotion)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (eventoutcome)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (hallwayitem)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (person)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• eastern (planet)
• CPL @1097 (50.0%) on 19-jan-2018 [ "arg2 Africa more than DD arg1" ] using (million_people, eastern)
• new (politicaloffice)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (researchproject)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (room)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (sportsleague)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (tableitem)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (traditionalgame)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (vertebrate)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (videogamesystem)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (visualizableattribute)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (weatherphenomenon)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• new (year)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg2 York six arg1" "arg2 York City ten arg1" "arg2 York City for seven arg1" "arg2 York two arg1" ] using (million_people, new)
• agentparticipatedinevent
• result (artery)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are hospitalized as arg2" "arg1 died as a direct arg2" ] using (more_people, result)
• conflict (boardgame)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 affected by violent arg2" ] using (million_people, conflict)
• acts (book)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 who commit criminal arg2" "arg1 committing violent arg2" ] using (more_people, acts)
• acts (charactertrait)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 who commit criminal arg2" "arg1 committing violent arg2" ] using (more_people, acts)
• tires (cognitiveactions)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 die every year as arg2" ] using (more_people, tires)
• tires (company)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 die every year as arg2" ] using (more_people, tires)
• acts (crimeorcharge)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 who commit criminal arg2" "arg1 committing violent arg2" ] using (more_people, acts)
• offences (crimeorcharge)
• CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 imprisoned for drug arg2" ] using (million_people, offences)
• tires (crimeorcharge)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 die every year as arg2" ] using (more_people, tires)
• acts (date)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 who commit criminal arg2" "arg1 committing violent arg2" ] using (more_people, acts)
• result (disease)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are hospitalized as arg2" "arg1 died as a direct arg2" ] using (more_people, result)
• conflict (emotion)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 affected by violent arg2" ] using (million_people, conflict)
• hindus
• CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 lost their lives as arg2" "arg1 died as arg2" ] using (million_people, hindus)
• result (eventoutcome)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are hospitalized as arg2" "arg1 died as a direct arg2" ] using (more_people, result)
• tires (flooritem)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 die every year as arg2" ] using (more_people, tires)
• acts (landscapefeatures)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 who commit criminal arg2" "arg1 committing violent arg2" ] using (more_people, acts)
• conflict (magazine)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 affected by violent arg2" ] using (million_people, conflict)
• result (mlmetric)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are hospitalized as arg2" "arg1 died as a direct arg2" ] using (more_people, result)
• crimes (musicalbum)
• CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 who commit violent arg2" "arg1 accused of war arg2" "arg1 convicted of capital arg2" "arg1 convicted of nonviolent arg2" "arg1 from committing violent arg2" ] using (more_people, crimes)
• conflict (musicartist)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 affected by violent arg2" ] using (million_people, conflict)
• result (perceptionevent)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are hospitalized as arg2" "arg1 died as a direct arg2" ] using (more_people, result)
• result (physicalaction)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are hospitalized as arg2" "arg1 died as a direct arg2" ] using (more_people, result)
• result (planet)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are hospitalized as arg2" "arg1 died as a direct arg2" ] using (more_people, result)
• offences (politicsbill)
• CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 imprisoned for drug arg2" ] using (million_people, offences)
• laborers (profession)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 dying as arg2" ] using (million_people, laborers)
• cup (programminglanguage)
• CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 have won the World arg2" ] using (million_people, cup)
• result (programminglanguage)
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 are hospitalized as arg2" "arg1 died as a direct arg2" ] using (more_people, result)
• independence
• CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 died as arg2" ] using (million_people, independence)
• tires (sport)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 die every year as arg2" ] using (more_people, tires)
• cup (tableitem)
• CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 have won the World arg2" ] using (million_people, cup)
• conflict (televisionshow)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 affected by violent arg2" ] using (million_people, conflict)
• laborers (tradeunion)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 dying as arg2" ] using (million_people, laborers)
• tires (vehicle)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 die every year as arg2" ] using (more_people, tires)
• conflict (videogame)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 affected by violent arg2" ] using (million_people, conflict)
• companyeconomicsector
• care (academicfield)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (amphibian)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• coverage
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 are losing their health arg2" ] using (more_people, coverage)
• care (buildingfeature)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (charactertrait)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (emotion)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (householditem)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (magazine)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (nonprofitorganization)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (perceptionaction)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (personalcareitem)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (physicalcharacteristic)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (plant)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (sportsequipment)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• care (weapon)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 will lose their health arg2" "arg1 without health arg2" ] using (more_people, care)
• currencycountry
• china
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg2 per year in arg1" "arg2 a year in arg1" ] using (china, million_people)
• india
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg2 a year in arg1" "arg2 per year in arg1" ] using (india, million_people)
• the_united_kingdom
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg2 a year in arg1" "arg2 a month in arg1" ] using (united_kingdom, million_people)
• us_
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg2 per year in arg1" "arg2 a year in arg1" ] using (us_, million_people)
• u_s_
• CPL @1094 (87.5%) on 01-jan-2018 [ "arg2 a month in arg1" "arg2 a year in arg1" "arg2 per year in arg1" ] using (u_s_, million_people)
• _uk
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg2 a year in arg1" "arg2 per year in arg1" ] using (uk, n10_000_people)
• __america
• CPL @1114 (87.5%) on 18-aug-2018 [ "arg2 a year in North arg1" "arg2 each year in North arg1" "arg2 annually in North arg1" ] using (america, million_people)
• geopoliticallocationcontainsstate
• states
• OE @1010 (95.6%) on 04-aug-2016 [ http://www.sentencingproject.org/template/page.cfm?id=107 http://www.nola.com/politics/index.ssf/2014/07/new_white_house_report_57_mill.html  ] using (states, million_people)
• CPL @1095 (99.8%) on 17-jan-2018 [ "arg2 under DD in the United arg1" "arg2 with cancer in the United arg1" "arg2 immigrated to the United arg1" "arg2 and the United arg1" "arg2 and in the United arg1" "arg2 versus the United arg1" "arg2 with disabilities in the United arg1" "arg2 in need in the United arg1" "arg2 emigrated to the United arg1" ] using (states, million_people)
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg2 immigrated to the United arg1" "arg2 than in the United arg1" "arg2 travel between the United arg1" ] using (states, more_people)
• locationrepresentedbypolitician
• kerry
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg2 that voted for John arg1" "arg2 that went for John arg1" ] using (kerry, million_people)
• obama
• CPL @1114 (75.0%) on 18-aug-2018 [ "arg2 that voted for arg1" "arg2 who voted for President arg1" ] using (obama, million_people)
• agentcompeteswithagent
• sales
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 show up for arg2" ] using (more_people, sales)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 show up for arg2" ] using (sales, more_people)
• isshorterthan
• twitter
• CPL @1107 (75.0%) on 24-may-2018 [ "arg2 following me on arg1" "arg2 who follow me on arg1" ] using (twitter, million_people)
• CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 who follow you on arg1" "arg2 following me on arg1" "arg2 you follow on arg1" ] using (twitter, more_people)
• life
• CPL @1094 (96.9%) on 01-jan-2018 [ "arg2 of all walks of arg1" "arg2 from all walks of arg1" "arg2 from all different walks of arg1" "arg2 I know in real arg1" "arg2 that complete my arg1" ] using (life, more_people)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg2 from all walks of arg1" ] using (life, n10_000_people)
• OE @947 (100.0%) on 04-sep-2015 [ http://knightfoundation.org/blogs/knightblog/2015/7/28/street-life-events-enliven-san-jose/ http://www.abc.net.au/local/photos/2015/08/07/4288883.htm  ] using (life, more_people)
• dc
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg2 gathered in Washington arg1" ] using (dc, million_people)
• london
• OE @896 (100.0%) on 23-jan-2015 [ http://en.wikipedia.org/wiki/London http://en.wikipedia.org/wiki/London  ] using (london, million_people)
• washington
• SEAL @682 (94.9%) on 11-jan-2013 [ 1 ] using (washington, million_people)
• CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 marched against the war in arg1" "arg2 lined the streets of arg1" "arg2 filled the streets of arg1" ] using (washington, million_people)
• mutualproxyfor
• new (geopoliticallocation)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (million_people, new)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (new, million_people)
• new (politicaloffice)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (million_people, new)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (new, million_people)
• new (room)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (million_people, new)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (new, million_people)
• new (sportsleague)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (million_people, new)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (new, million_people)
• new (tableitem)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (million_people, new)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (new, million_people)
• new (traditionalgame)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (million_people, new)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (new, million_people)
• proxyof
• new (geopoliticallocation)
• CPL @1103 (93.8%) on 06-mar-2018 [ "arg1 York six arg2" "arg1 York City ten arg2" "arg1 York City for seven arg2" "arg1 York two arg2" ] using (new, million_people)