SEAL @784 (50.0%) on 30-oct-2013 [ 1 ] using kolkata
CPL @1103 (88.2%) on 08-mar-2018 [ "_ is an ancient city" "sister city of _" "production company based in _" "_ 's China Town" "cities like _" "off-peak season Consider flying into _" "freelance writer based in _" "suitable property in _" "direct trains to _" "resort in _" "_ is a safe city" "major cities such as _" "development company located in _" "class escort service in _" "cities such as _" "Photography colleges in _" "D-star hotels in _" "Cheap Flights ,Flights from _" "Eastern suburbs of _" "development centre located in _" "former mayor of _" "state capital of _" "several hotels in _" "Top Hotels Deals in _" "executive suite facilities in _" "larger cities like _" "football club based in _" "hotel in _" "many tourist attractions in _" "_ 's red light district" "guest house guide for _" "_ 's China town" "restaurants in _" "Trip Cheap Flights to _" "big cities like _" "industrial suburb of _" "other cities such as _" "Public transport in _" "Italian food joints in _" "photographer based in _" "coastal cities like _" "main cities like _" "_ is a sprawling city" "Indian cities of _" "Chilian Restaurants in _" "Southern suburbs of _" "_ 's International Airport" "train traveling from _" "sleeper train to _" "_ is a nice city" "airports including _" "southern suburb of _" "headquarter is in _" "Morning city tour of _" "international direct flight tickets from _" "artist based in _" "class airfares from _" "Book cheap flight tickets from _" ".... Other Members from _" "Nearest Airport is _" "direct flight from _" "eastern city of _" "company , headquartered in _" "agency headquartered in _" "_ is a lively city" "correspondent , based in _" "_ 's Chinatown" "Indian city of _" "art gallery based in _" "industry located in _" "media agency based in _" "resorts in _" "Morning arrive _" "quality hotels in _" "consultant based in _" "International , headquartered in _" "North indian Restaurants in _" "Indian cities like _" "hotels in _" "old town of _" "airlines fly to _" "_ try Thomas Cook" "afternoon flight to _" "old single guy from _" "Market area of _" "rally in central _" "estate professional in _" "illustrator based in _" "low cost airline tickets to _" "perfect stay in _" "business-friendly hotel located in central _" "_ is a green city" "_ is a cosmopolitan city" "Full day city tour of _" "Gifts are done at _" "Co. based in _" "_ is a major port" "Cheap accommodation in _" "night train from _" "metro cities like _" "movers services in _" "port city of _" "financial services company headquartered in _" "independent journalist based in _" "book cheap flights to _" "_ 's red-light district" "_ 's slums" "different cities including _" "cost airline tickets to _" "Thai Restaurants in _" "Offices Listed in _" "India Based in _" "port cities such as _" "slum areas of _" "flights Flights from _" "holiday apartments in _" "season Consider flying into _" "overnight trains from _" "cheap business class airfares from _" "Air tickets to _" "Morning departure from _" "Sale around _" "other cities like _" "outdoor Sports in _" "Group hotels in _" "holy city of _" "indian Restaurants in _" "Short Term Rentals around _" "Round Trip Cheap Flights to _" "international airports are located in _" "marketing consultant based in _" "escorts based in _" "several major cities , including _" "flight tickets from _" "_ is a vibrant city" "overnight train from _" "Nearest airport is _" "_ 's Central Business District" "freelance journalist based in _" "perishable Gifts are done at _" "South indian Restaurants in _" "evening flight to _" "business class airfares from _" "City tour of _" "_ is a liberal city" "ancient city of _" "direct flight to _" "air route from _" "airports are at _" "Swiss Restaurants in _" "major Indian cities like _" "direct train from _" "fares deals on _" "_ is a city full" "great cities like _" "flowers delivery in _" "Chinese consulate in _" "International flights to _" "direct flight tickets from _" "western suburb of _" "railhead is at _" "rally in _" "photojournalist based in _" "megacities like _" "elegant areas of _" "connecting flight from _" "cheap first class airfares from _" "metros such as _" "Cart Fresh Flowers to _" "Overview Based in _" "_ is an enormous city" "main campus is located in _" "native of _" "bank , headquartered in _" "agency , headquartered in _" "flights connect _" "taxi rental in _" "_ is a multicultural city" "air fares deals on _" "hotel in central _" "heart of old _" "Sandwich shops in _" "New Delhi Cheap Flights ,Flights from _" "_ became the capital city" "other hotels in _" "consultancy based in _" "hotel located in central _" "neighbourhood in central _" "real estate professional in _" "metropolitan areas like _" "firm , based in _" "film industry based in _" "evening train to _" "software development company based in _" "services company headquartered in _" "few miles outside _" "firm based in _" "software company based in _" "real estate in _" "popular attractions in _" "headquarters based in _" "Southern Suburbs of _" "hour train ride from _" "eastern suburbs of _" "_ are online florists" "select travel offers to _" "small town outside _" "large cities including _" "Term Rentals around _" "attractions in _" "Flights From _" "one-hour flight from _" "metropolitan centers like _" "several cities including _" "metropolitan city like _" "breakfast in _" "several cities such as _" "sightseeing tours of _" "ministry spokesman in _" "business district of _" "business class flights to _" "development firm located in _" "imperial city of _" "new business district of _" "other homes in _" "_ is definitely a city" "journalist , based in _" "metropolises like _" "large city like _" "Tourist attractions in _" "Major cities such as _" "magazine based in _" "Cheap flights from _" "_ 's popular attractions" "Lufthansa flight from _" "urban centres such as _" "Lake neighborhood of _" "Air flight from _" "Other Members from _" "low air fares deals on _" "Discount Flights From _" "_ 's Red Light District" "software firm based in _" "company is headquartered in _" "_ 's main business district" "company , located in _" "building in central _" "buses From _" "such cities as _" "metropolitan cities like _" "big city like _" "It is headquartered in _" "cultural city of _" "solution company based in _" "computer reservation system in _" "return international direct flight tickets from _" "company headquartered in _" "cheap accommodation in _" "spa hotels in _" "rent in _" "Delhi Cheap Flights ,Flights from _" "urban centres like _" "development company based in _" "reservation system in _" "rock band based in _" "tough streets of _" "_ Following are the list" "plane flight from _" "Design Company based in _" "major cities , such as _" "other perishable Gifts are done at _" "_ 's bustling city centre" "first class airfares from _" "single guy from _" "marketing firm based in _" "photographer residing in _" "non-governmental organization based in _" "northeastern city of _" "expensive cities like _" "design firm based in _" ",Flights from _" "Airlines flight from _" "freelance photojournalist based in _" "small town east of _" "southern suburbs of _" "institute located in _" "teacher based in _" "Flights ,Flights from _" "Indian cities such as _" "Escorts In _" "Company , located in _" "dealer based in _" "popular hotels in _" "other major cities such as _" "urban cities like _" "Packers Movers in _" "position is based in _" "software development centre in _" "detailed online map of _" "DD-day cruise from _" "Solutions , based in _" "Flights between _" "Web Design Company based in _" "Company is headquartered in _" "Estate agents in _" "multi-use stadium in _" "brands flying from _" "cheap airfares to _" "port town of _" "northern suburbs of _" "metropolis like _" "sexy escorts in _" "vacation in _" "central business district of _" "big cities such as _" "huge cities like _" "major cities like _" "Other hotels in _" "overnight train to _" "development corporation in _" "domestic destinations like _" "Hotels Deals in _" "return train to _" "_ 's city limits" "_ is an amazing city" "writer based in _" "you first fly to _" "vendor in _" "villa in _" ] using kolkata
NELL has only weak evidence for items listed in grey
CPL @1108 (96.9%) on 07-jun-2018 [ "arg1 in December arg2" "arg1 in January arg2" "arg1 in February arg2" "arg1 in April arg2" "arg1 in September arg2" ] using (kolkata, n2005)
CPL @1115 (93.8%) on 27-aug-2018 [ "arg1 in January arg2" "arg1 in September arg2" "arg1 in December arg2" "arg1 in June arg2" ] using (kolkata, n2001)
CPL @1115 (93.8%) on 27-aug-2018 [ "arg1 in February arg2" "arg1 in September arg2" "arg1 in April arg2" "arg1 in December arg2" ] using (kolkata, n2006)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg2 was earlier known as arg1" "arg2 was previously called arg1" "arg2 earlier known as arg1" "arg2 Morning fly to arg1" "arg2 was still called arg1" ] using (calcutta, kolkata)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg2 was earlier known as arg1" "arg2 was previously called arg1" "arg2 earlier known as arg1" "arg2 Morning fly to arg1" "arg2 was still called arg1" ] using (kolkata, calcutta)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg2 was earlier known as arg1" "arg2 was previously called arg1" "arg2 earlier known as arg1" "arg2 Morning fly to arg1" "arg2 was still called arg1" ] using (calcutta, kolkata)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg2 was earlier known as arg1" "arg2 was previously called arg1" "arg2 earlier known as arg1" "arg2 Morning fly to arg1" "arg2 was still called arg1" ] using (kolkata, calcutta)
NELL has only weak evidence for items listed in grey
CPL @1094 (96.9%) on 01-jan-2018 [ "arg2 was earlier known as arg1" "arg2 was previously called arg1" "arg2 earlier known as arg1" "arg2 Morning fly to arg1" "arg2 was still called arg1" ] using (calcutta, kolkata)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg2 was earlier known as arg1" "arg2 was previously called arg1" "arg2 earlier known as arg1" "arg2 Morning fly to arg1" "arg2 was still called arg1" ] using (kolkata, calcutta)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:cityoforganizationheadquarters,concept:hasofficeincity,concept:synonymfor" "Y~_X0~concept:companiesheadquarteredhere,concept:hasofficeincity,concept:synonymfor" "Y~_X0~concept:cityoforganizationheadquarters,concept:organizationactsinlocation,concept:synonymfor" "Y~_X0~concept:companiesheadquarteredhere,concept:organizationactsinlocation,concept:synonymfor" "Y~_z-concept:city~specializations,concept:mutualproxyfor" ] using (bombay, kolkata)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:cityoforganizationheadquarters,concept:hasofficeincity,concept:synonymfor" "Y~_X0~concept:companiesheadquarteredhere,concept:hasofficeincity,concept:synonymfor" "Y~_X0~concept:cityoforganizationheadquarters,concept:organizationactsinlocation,concept:synonymfor" "Y~_X0~concept:companiesheadquarteredhere,concept:organizationactsinlocation,concept:synonymfor" "Y~_z-concept:city~specializations,concept:mutualproxyfor" ] using (kolkata, bombay)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:cityoforganizationheadquarters,concept:hasofficeincity,concept:synonymfor" "Y~_X0~concept:companiesheadquarteredhere,concept:hasofficeincity,concept:synonymfor" "Y~_X0~concept:cityoforganizationheadquarters,concept:organizationactsinlocation,concept:synonymfor" "Y~_X0~concept:companiesheadquarteredhere,concept:organizationactsinlocation,concept:synonymfor" "Y~_z-concept:city~specializations,concept:mutualproxyfor" ] using (mumbai, kolkata)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~_X0~concept:cityoforganizationheadquarters,concept:hasofficeincity,concept:synonymfor" "Y~_X0~concept:companiesheadquarteredhere,concept:hasofficeincity,concept:synonymfor" "Y~_X0~concept:cityoforganizationheadquarters,concept:organizationactsinlocation,concept:synonymfor" "Y~_X0~concept:companiesheadquarteredhere,concept:organizationactsinlocation,concept:synonymfor" "Y~_z-concept:city~specializations,concept:mutualproxyfor" ] using (kolkata, mumbai)
CPL @1096 (87.5%) on 18-jan-2018 [ "arg1 flight from arg2" "arg1 operates flights from arg2" "arg1 operates direct flights from arg2" ] using (druk_air, kolkata)
CPL @1095 (93.8%) on 17-jan-2018 [ "arg1 spoken in arg2" "arg1 medium schools in arg2" "arg1 dailies in arg2" "arg1 Medium School in arg2" ] using (english, kolkata)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (87.5%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is now the capital of arg2" "arg1 is the capital of arg2" ] using (kolkata, west_bengal_state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 is the capital city of arg2" "arg1 is the capital of arg2" "arg1 is the largest city of arg2" "arg1 became the capital city of arg2" "arg1 has been the capital of arg2" ] using (kolkata, state)