air_india (company)

literal strings:
  Air-India, air India, Air India, air india, Air india
  Air India Express, Air-India Express, air india express
  Naval Air Station Whidbey Island

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• air_india is a company     
• air_india is a transportation system     
• air_india is a company in the economic sector of public_sector (economicsector)     
• air_india is a company that has an office in the city delhi (city)     
• air_india is a company that has an office in the city new_york (city)     
• air_india is a company that has an office in the city toronto (city)     

categories

• company(100.0%)
• CMC @908 (99.9%) on 28-feb-2015 [ PREFIX=ai 3.67714 SUFFIX=ir 3.47352 SHORT_WORDSHAPE=Aa 2.98099 FIRST_WORD=air 2.47506 LASTPREFIX=in 1.73555 LASTPREFIX=ind 1.48875 LASTSUFFIX=dia 1.01498 PREFIX=indi -1.05940 LASTSUFFIX=ia -1.39202 CHARS -2.15449 ] using air_india
• SEAL @695 (66.4%) on 08-feb-2013 [ 1 ] using air_india
• Human feedback from bkisiel @840 on 23-may-2014 [ "air_india headquarteredin mumbai", Action=(+headquarteredin) (from NELL.08m.840.SSFeedback.csv) ] using air_india
• CPL @1097 (89.0%) on 19-jan-2018 [ "low cost carriers such as _" "cost carriers such as _" "cost carriers like _" "airlines such as _" "carriers like _" "cost airlines such as _" "low cost airlines such as _" "carriers such as _" "airlines like _" "flights operated by _" ] using air_india_express
• OE @880 (95.0%) on 19-oct-2014 [ http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India_Flight_182 http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India http://en.wikipedia.org/wiki/Air_India http://www.cleartrip.ae/airlines/air-india-airlines.html  ] using air_india
• MBL @1116 (99.9%) on 12-sep-2018 [ Promotion of airport:air_india hasofficeincity city:delhi ] using concept:airport:air_india
• OE @1084 (100.0%) on 06-dec-2017 [ http://news.kuwaittimes.net/air-india-express-halting-services-mangalore-hundreds-expats-kuwait-affected/ http://news.kuwaittimes.net/air-india-express-halting-services-mangalore-hundreds-expats-kuwait-affected/ http://news.kuwaittimes.net/air-india-express-halting-services-mangalore-hundreds-expats-kuwait-affected/ http://airindiaexpress.in/dest.aspx http://home.airindia.in/ http://airindiaexpress.in/faq.aspx http://news.kuwaittimes.net/air-india-express-halting-services-mangalore-hundreds-expats-kuwait-affected/ http://airindiaexpress.in/dest.aspx http://home.airindia.in/ http://airindiaexpress.in/faq.aspx http://airindiaexpress.in/dest.aspx http://home.airindia.in/ http://airindiaexpress.in/faq.aspx http://news.kuwaittimes.net/air-india-express-halting-services-mangalore-hundreds-expats-kuwait-affected/ http://airindiaexpress.in/dest.aspx http://home.airindia.in/ http://airindiaexpress.in/faq.aspx http://www.dohop.com/travel-guide/airlines/Air%20India%20Express-0IX/ http://home.airindia.in/ http://airindiaexpress.in/faq.aspx http://airindiaexpress.in/dest.aspx http://home.airindia.in/ http://airindiaexpress.in/faq.aspx http://airindiaexpress.in/dest.aspx http://home.airindia.in/ http://airindiaexpress.in/faq.aspx http://news.kuwaittimes.net/air-india-express-halting-services-mangalore-hundreds-expats-kuwait-affected/ http://news.kuwaittimes.net/air-india-express-halting-services-mangalore-hundreds-expats-kuwait-affected/  ] using air_india_express
• CMC @1084 (100.0%) on 06-dec-2017 [ SUFFIX=ress 3.09103 FIRST_WORD=air 2.19675 PREFIX=ai 1.98388 SUFFIX=ir 1.49537 LASTSUFFIX=ress 1.24278 SUFFIX=press 1.17173 SHORT_WORDSHAPE=Aa 0.69549 SHORT_WORDSHAPE=a -1.14042 LASTSUFFIX=ss -1.23574 WORDS -1.65828 ] using air_india_express
• transportation(100.0%)
• SEAL @562 (50.0%) on 07-may-2012 [ 1 ] using air_india_express
• CPL @1112 (54.1%) on 19-jul-2018 [ "cost carriers like _" "ICAO code for _" "cost airlines such as _" "_ operate flights" ] using air_india_express
• CMC @904 (100.0%) on 19-feb-2015 [ PREFIX=ai 3.29096 SUFFIX=press 1.89110 PREFIX=expre 1.61426 PREFIX=expr 1.61426 SUFFIX=ress 1.46858 PREFIX=exp 1.37812 PREFIX=ex 1.32369 WORDSHAPE=Aaaaa -0.67421 WORDS -6.13967 CHARS -6.56440 ] using air_india_express

NELL has only weak evidence for items listed in grey

• airport
• SEAL @754 (53.9%) on 24-jul-2013 [ 1 2 3 4 5 ] using air_india
• CPL @1107 (76.0%) on 24-may-2018 [ "hangar located at _" "city limits near _" "apartment community located near _" ] using naval_air_station_whidbey_island

relations

• companyeconomicsector
• public_sector (economicsector) (93.8%)
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 companies such as arg1" "arg2 firms such as arg1" "arg2 organisations like arg1" "arg2 companies like arg1" ] using (air_india, public_sector)
• hasofficeincity
• mumbai (city) (100.0%)
• CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 have flights to arg2" ] using (air_india_express, mumbai)
• SEAL @120 (50.0%) on 07-jun-2010 [ 1 ] using (air_india, mumbai)
• delhi (city) (99.8%)
• SEAL @120 (50.0%) on 07-jun-2010 [ 1 ] using (air_india_express, delhi)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight from Paris to arg2" "arg1 has daily flights from arg2" "arg1 Flight from arg2" "arg1 plane from arg2" "arg1 flight from arg2" "arg1 flies from arg2" "arg1 flights from arg2" "arg1 flight to arg2" "arg1 flies to arg2" ] using (air_india, delhi)
• new_york (city) (99.8%)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight DDD in arg2" "arg1 flight from Paris to arg2" "arg1 flight bound for arg2" "arg1 flight back to arg2" "arg1 flight to arg2" "arg1 flies to arg2" "arg1 flight from Mumbai to arg2" "arg1 offers daily flights from arg2" "arg1 flight from arg2" ] using (air_india, new_york)
• toronto (city) (99.2%)
• CPL @1114 (99.2%) on 18-aug-2018 [ "arg1 flight to arg2" "arg1 Flight DDD out of arg2" "arg1 jetliner from arg2" "arg1 Flight DDD in arg2" "arg1 flies to arg2" "arg1 flight from arg2" "arg1 flight out of arg2" ] using (air_india, toronto)
• chicago_south (93.8%)
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg1 flies from arg2" "arg1 flight to arg2" "arg1 flight from arg2" "arg1 flies to arg2" ] using (air_india, chicago)
• headquarteredin
• mumbai (city) (100.0%)
• Human feedback from bkisiel @840 on 23-may-2014 [ "air_india headquarteredin mumbai", Action=(+headquarteredin) (from NELL.08m.840.SSFeedback.csv) ] using (air_india, mumbai)
• CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 building in south arg2" ] using (air_india, mumbai)
• latitudelongitude
• 48.3480200000000,-122.6628500000000 (100.0%)
• (Locate)
• LatLong
• LatLong @565 (100.0%) on 10-may-2012 [ geonames: naval air station whidbey island@48.348,-122.663 ]

NELL has only weak evidence for items listed in grey

• hasofficeincity
• amritsar (city)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 flight from arg2" "arg1 flights from arg2" ] using (air_india, amritsar)
• bangalore (city)
• CPL @1112 (75.0%) on 20-jul-2018 [ "arg1 has flights to arg2" "arg1 plane from arg2" ] using (air_india, bangalore)
• birmingham
• CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 flights from arg2" "arg1 operates flights to arg2" "arg1 flight from arg2" ] using (air_india, birmingham)
• bombay
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 flight to arg2" "arg1 flight to arg2" "arg1 flight from arg2" "arg1 flight bound for arg2" ] using (air_india, bombay)
• central_london (city)
• CPL @1097 (87.5%) on 19-jan-2018 [ "arg1 offers direct flights from arg2" "arg1 has direct flights from arg2" "arg1 flight from arg2" ] using (air_india, london)
• frankfurt
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 flies to arg2" "arg1 from LAX to arg2" ] using (air_india, frankfurt)
• hong_kong (city)
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 flight to arg2" "arg1 flight from Mumbai to arg2" "arg1 flies into arg2" ] using (air_india, hong_kong)
• jeddah (city)
• CPL @1108 (75.0%) on 07-jun-2018 [ "arg1 flight to arg2" "arg1 flight from arg2" ] using (air_india, jeddah)
• kathmandu (city)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 flight from arg2" "arg1 flight to arg2" ] using (air_india, kathmandu)
• larnaca
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 plane from arg2" "arg1 flight from arg2" ] using (air_india, larnaca)
• los_angeles_ca
• CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 flight from arg2" "arg1 flies from arg2" ] using (air_india, los_angeles)
• lucknow (city)
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 fly daily from arg2" "arg1 direct flights from arg2" "arg1 flight from arg2" ] using (air_india, lucknow)
• malaysia (city)
• CPL @1107 (75.0%) on 24-may-2018 [ "arg1 Flight DDD out of arg2" "arg1 flight to arg2" ] using (air_india, malaysia)
• manchester (city)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 flight to arg2" "arg1 flights from arg2" ] using (air_india, manchester)
• paris (city)
• CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 flight to arg2" "arg1 flight from arg2" "arg1 flight between arg2" ] using (air_india, paris)
• pune (city)
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 operates direct flights from arg2" "arg1 flights from arg2" ] using (air_india, pune)
• riyadh (city)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 flight from arg2" ] using (air_india, riyadh)
• headquarteredin
• delhi (city)
• SEAL @247 (50.0%) on 10-may-2011 [ 1 ] using (air_india, delhi)
• pune (city)
• CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 operates direct flights from arg2" ] using (air_india, pune)
• companyeconomicsector
• sector
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 firms such as arg1" "arg2 companies like arg1" "arg2 companies such as arg1" "arg2 organisations like arg1" ] using (air_india, sector)
• public_sector (governmentorganization)
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 companies such as arg1" "arg2 firms such as arg1" "arg2 organisations like arg1" "arg2 companies like arg1" ] using (air_india, public_sector)
• public_sector (transportation)
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg2 companies such as arg1" "arg2 firms such as arg1" "arg2 organisations like arg1" "arg2 companies like arg1" ] using (air_india, public_sector)
• hasofficeincity
• delhi (academicfield)
• SEAL @120 (50.0%) on 07-jun-2010 [ 1 ] using (air_india_express, delhi)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight from Paris to arg2" "arg1 has daily flights from arg2" "arg1 Flight from arg2" "arg1 plane from arg2" "arg1 flight from arg2" "arg1 flies from arg2" "arg1 flights from arg2" "arg1 flight to arg2" "arg1 flies to arg2" ] using (air_india, delhi)
• lucknow (academicfield)
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 fly daily from arg2" "arg1 direct flights from arg2" "arg1 flight from arg2" ] using (air_india, lucknow)
• dubai (airport)
• CPL @1097 (87.5%) on 19-jan-2018 [ "arg1 plane from arg2" "arg1 flight DDD from arg2" "arg1 flight from arg2" ] using (air_india_express, dubai)
• mumbai (biotechcompany)
• CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 have flights to arg2" ] using (air_india_express, mumbai)
• SEAL @120 (50.0%) on 07-jun-2010 [ 1 ] using (air_india, mumbai)
• ahmedabad (blog)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 flight from arg2" "arg1 flies to arg2" ] using (air_india, ahmedabad)
• dubai (building)
• CPL @1097 (87.5%) on 19-jan-2018 [ "arg1 plane from arg2" "arg1 flight DDD from arg2" "arg1 flight from arg2" ] using (air_india_express, dubai)
• chicago (company)
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg1 flies from arg2" "arg1 flight to arg2" "arg1 flight from arg2" "arg1 flies to arg2" ] using (air_india, chicago)
• chicago001
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg1 flies from arg2" "arg1 flight to arg2" "arg1 flight from arg2" "arg1 flies to arg2" ] using (air_india, chicago)
• gulf_air
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 flies to arg2" "arg1 operates flights to arg2" ] using (air_india, gulf)
• japan (company)
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 flight to arg2" ] using (air_india, japan)
• japan001
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 flight to arg2" ] using (air_india, japan)
• los_angeles
• CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 flight from arg2" "arg1 flies from arg2" ] using (air_india, los_angeles)
• new_york (company)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight DDD in arg2" "arg1 flight from Paris to arg2" "arg1 flight bound for arg2" "arg1 flight back to arg2" "arg1 flight to arg2" "arg1 flies to arg2" "arg1 flight from Mumbai to arg2" "arg1 offers daily flights from arg2" "arg1 flight from arg2" ] using (air_india, new_york)
• toronto (company)
• CPL @1114 (99.2%) on 18-aug-2018 [ "arg1 flight to arg2" "arg1 Flight DDD out of arg2" "arg1 jetliner from arg2" "arg1 Flight DDD in arg2" "arg1 flies to arg2" "arg1 flight from arg2" "arg1 flight out of arg2" ] using (air_india, toronto)
• bangalore (country)
• CPL @1112 (75.0%) on 20-jul-2018 [ "arg1 has flights to arg2" "arg1 plane from arg2" ] using (air_india, bangalore)
• hong_kong (country)
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 flight to arg2" "arg1 flight from Mumbai to arg2" "arg1 flies into arg2" ] using (air_india, hong_kong)
• japan (country)
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 flight to arg2" ] using (air_india, japan)
• malaysia (country)
• CPL @1107 (75.0%) on 24-may-2018 [ "arg1 Flight DDD out of arg2" "arg1 flight to arg2" ] using (air_india, malaysia)
• central_london (county)
• CPL @1097 (87.5%) on 19-jan-2018 [ "arg1 offers direct flights from arg2" "arg1 has direct flights from arg2" "arg1 flight from arg2" ] using (air_india, london)
• paris (county)
• CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 flight to arg2" "arg1 flight from arg2" "arg1 flight between arg2" ] using (air_india, paris)
• gulf (crustacean)
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 flies to arg2" "arg1 operates flights to arg2" ] using (air_india, gulf)
• gulf (fish)
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 flies to arg2" "arg1 operates flights to arg2" ] using (air_india, gulf)
• dubai (geopoliticallocation)
• CPL @1097 (87.5%) on 19-jan-2018 [ "arg1 plane from arg2" "arg1 flight DDD from arg2" "arg1 flight from arg2" ] using (air_india_express, dubai)
• united_states (geopoliticallocation)
• CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 flights to and from arg2" "arg1 flies to arg2" ] using (air_india, united_states)
• ahmedabad (geopoliticalorganization)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 flight from arg2" "arg1 flies to arg2" ] using (air_india, ahmedabad)
• nagpur
• CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 flight to arg2" ] using (air_india, nagpur)
• pune (grain)
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 operates direct flights from arg2" "arg1 flights from arg2" ] using (air_india, pune)
• gulf (hotel)
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 flies to arg2" "arg1 operates flights to arg2" ] using (air_india, gulf)
• hong_kong_island
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 flight to arg2" "arg1 flight from Mumbai to arg2" "arg1 flies into arg2" ] using (air_india, hong_kong)
• manchester (island)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 flight to arg2" "arg1 flights from arg2" ] using (air_india, manchester)
• gulf (landscapefeatures)
• CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 flies to arg2" "arg1 operates flights to arg2" ] using (air_india, gulf)
• state
• CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 flights to and from arg2" "arg1 flies to arg2" ] using (air_india, united_states)
• state001
• CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 flights to and from arg2" "arg1 flies to arg2" ] using (air_india, united_states)
• chicago (male)
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg1 flies from arg2" "arg1 flight to arg2" "arg1 flight from arg2" "arg1 flies to arg2" ] using (air_india, chicago)
• japan (male)
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 flight to arg2" ] using (air_india, japan)
• lucknow (male)
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 fly daily from arg2" "arg1 direct flights from arg2" "arg1 flight from arg2" ] using (air_india, lucknow)
• riyadh (militaryconflict)
• CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 flight from arg2" ] using (air_india, riyadh)
• bangalore (mlconference)
• CPL @1112 (75.0%) on 20-jul-2018 [ "arg1 has flights to arg2" "arg1 plane from arg2" ] using (air_india, bangalore)
• kathmandu (model)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 flight from arg2" "arg1 flight to arg2" ] using (air_india, kathmandu)
• delhi (monument)
• SEAL @120 (50.0%) on 07-jun-2010 [ 1 ] using (air_india_express, delhi)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight from Paris to arg2" "arg1 has daily flights from arg2" "arg1 Flight from arg2" "arg1 plane from arg2" "arg1 flight from arg2" "arg1 flies from arg2" "arg1 flights from arg2" "arg1 flight to arg2" "arg1 flies to arg2" ] using (air_india, delhi)
• kathmandu (mountain)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 flight from arg2" "arg1 flight to arg2" ] using (air_india, kathmandu)
• chicago (musicfestival)
• CPL @1095 (93.8%) on 17-jan-2018 [ "arg1 flies from arg2" "arg1 flight to arg2" "arg1 flight from arg2" "arg1 flies to arg2" ] using (air_india, chicago)
• london
• CPL @1097 (87.5%) on 19-jan-2018 [ "arg1 offers direct flights from arg2" "arg1 has direct flights from arg2" "arg1 flight from arg2" ] using (air_india, london)
• manchester (person)
• CPL @1105 (75.0%) on 25-mar-2018 [ "arg1 flight to arg2" "arg1 flights from arg2" ] using (air_india, manchester)
• delhi (personalcareitem)
• SEAL @120 (50.0%) on 07-jun-2010 [ 1 ] using (air_india_express, delhi)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight from Paris to arg2" "arg1 has daily flights from arg2" "arg1 Flight from arg2" "arg1 plane from arg2" "arg1 flight from arg2" "arg1 flies from arg2" "arg1 flights from arg2" "arg1 flight to arg2" "arg1 flies to arg2" ] using (air_india, delhi)
• hong_kong (personasia)
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 flight to arg2" "arg1 flight from Mumbai to arg2" "arg1 flies into arg2" ] using (air_india, hong_kong)
• malaysia (personasia)
• CPL @1107 (75.0%) on 24-may-2018 [ "arg1 Flight DDD out of arg2" "arg1 flight to arg2" ] using (air_india, malaysia)
• new_york (personnorthamerica)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight DDD in arg2" "arg1 flight from Paris to arg2" "arg1 flight bound for arg2" "arg1 flight back to arg2" "arg1 flight to arg2" "arg1 flies to arg2" "arg1 flight from Mumbai to arg2" "arg1 offers daily flights from arg2" "arg1 flight from arg2" ] using (air_india, new_york)
• malaysia (race)
• CPL @1107 (75.0%) on 24-may-2018 [ "arg1 Flight DDD out of arg2" "arg1 flight to arg2" ] using (air_india, malaysia)
• delhi (stateorprovince)
• SEAL @120 (50.0%) on 07-jun-2010 [ 1 ] using (air_india_express, delhi)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight from Paris to arg2" "arg1 has daily flights from arg2" "arg1 Flight from arg2" "arg1 plane from arg2" "arg1 flight from arg2" "arg1 flies from arg2" "arg1 flights from arg2" "arg1 flight to arg2" "arg1 flies to arg2" ] using (air_india, delhi)
• new_york (stateorprovince)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight DDD in arg2" "arg1 flight from Paris to arg2" "arg1 flight bound for arg2" "arg1 flight back to arg2" "arg1 flight to arg2" "arg1 flies to arg2" "arg1 flight from Mumbai to arg2" "arg1 offers daily flights from arg2" "arg1 flight from arg2" ] using (air_india, new_york)
• hong_kong (televisionshow)
• CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 flight to arg2" "arg1 flight from Mumbai to arg2" "arg1 flies into arg2" ] using (air_india, hong_kong)
• united_states (visualartmovement)
• CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 flights to and from arg2" "arg1 flies to arg2" ] using (air_india, united_states)
• amritsar (visualizablescene)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 flight from arg2" "arg1 flights from arg2" ] using (air_india, amritsar)
• delhi (visualizablescene)
• SEAL @120 (50.0%) on 07-jun-2010 [ 1 ] using (air_india_express, delhi)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight from Paris to arg2" "arg1 has daily flights from arg2" "arg1 Flight from arg2" "arg1 plane from arg2" "arg1 flight from arg2" "arg1 flies from arg2" "arg1 flights from arg2" "arg1 flight to arg2" "arg1 flies to arg2" ] using (air_india, delhi)
• jeddah (visualizablescene)
• CPL @1108 (75.0%) on 07-jun-2018 [ "arg1 flight to arg2" "arg1 flight from arg2" ] using (air_india, jeddah)
• mangalore
• CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 flight bound for arg2" "arg1 flight to arg2" "arg1 plane that crashed in arg2" ] using (air_india, mangalore)
• new_york (visualizablescene)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 flight DDD in arg2" "arg1 flight from Paris to arg2" "arg1 flight bound for arg2" "arg1 flight back to arg2" "arg1 flight to arg2" "arg1 flies to arg2" "arg1 flight from Mumbai to arg2" "arg1 offers daily flights from arg2" "arg1 flight from arg2" ] using (air_india, new_york)
• headquarteredin
• delhi (academicfield)
• SEAL @247 (50.0%) on 10-may-2011 [ 1 ] using (air_india, delhi)
• mumbai (biotechcompany)
• Human feedback from bkisiel @840 on 23-may-2014 [ "air_india headquarteredin mumbai", Action=(+headquarteredin) (from NELL.08m.840.SSFeedback.csv) ] using (air_india, mumbai)
• CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 building in south arg2" ] using (air_india, mumbai)
• pune (grain)
• CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 operates direct flights from arg2" ] using (air_india, pune)
• delhi (monument)
• SEAL @247 (50.0%) on 10-may-2011 [ 1 ] using (air_india, delhi)
• delhi (personalcareitem)
• SEAL @247 (50.0%) on 10-may-2011 [ 1 ] using (air_india, delhi)
• delhi (stateorprovince)
• SEAL @247 (50.0%) on 10-may-2011 [ 1 ] using (air_india, delhi)
• delhi (visualizablescene)
• SEAL @247 (50.0%) on 10-may-2011 [ 1 ] using (air_india, delhi)