CPL @1104 (94.8%) on 18-mar-2018 [ "chain stores like _" "companies such as _" "large store like _" "local stores like _" "major retailers like _" "retailers like _" ] using circut_city
NELL has only weak evidence for items listed in grey
SEAL @722 (57.8%) on 05-apr-2013 [ 1 ] using circuit_city_stores
CMC @1051 (99.9%) on 20-apr-2017 [ PREFIX=stor 1.50530 LASTPREFIX=stor 1.43767 PREFIX=sto 1.36930 LASTPREFIX=sto 1.32117 LASTSUFFIX=tores 1.02117 SUFFIX=tores 1.02029 LASTSUFFIX=ores 0.95394 POS=NN -0.59876 WORDS -2.89637 SHORT_WORDSHAPE=a -3.05424 ] using circuit_city_stores
CPL @1095 (95.5%) on 17-jan-2018 [ "retailers like _" "national retailers like _" "U.S. retailers like _" "chains , such as _" "stores such as _" "retailers , including _" "dollar you spend at _" ] using circuit_city_stores
CPL @1097 (88.1%) on 19-jan-2018 [ "Last night I stopped at _" "well-known retailers such as _" "local stores such as _" "Large chains like _" "Deals at _" "I 've shopped at _" "national chain stores such as _" "U.S. retailers including _" "large retailer like _" "mortar stores like _" "Chains like _" "superstores , such as _" "Retailers like _" "chains , such as _" "big store like _" "big box store like _" "big-box retailers such as _" "big retail stores like _" "discounters such as _" "big box stores like _" "large department stores such as _" "electronics section at _" "I was shopping at _" "Appliances at _" "major retailers including _" "superstores such as _" "you shopped at _" "retail firms such as _" "box retailer like _" "major retailers , such as _" "Digital Cameras at _" "national chains as _" "Retail chains such as _" "Other retailers , such as _" "same shopping center as _" "big box retailer like _" "_ was the only store" "electronics store like _" "everything you buy at _" "_ is n't the only retailer" "retailers including _" "you shop at _" "Day sale at _" "retail companies like _" "you only shop at _" "National chains such as _" "I always shop at _" "claim code on _" "big box retailers such as _" "big box retailers , such as _" "_ carries top brands" "retail chains such as _" "big name stores like _" "big retailers , including _" "wireless phones at _" "mass merchants such as _" "major tenants include _" "online retailers such as _" "stores like _" "major retailers , including _" "larger retailers like _" "retail partnership with _" "other major retailers like _" "retail store like _" "Items offered by _" "Big box stores like _" "Stores such as _" "more deals at _" "many retailers , including _" "shelf space at _" "retail outlets including _" "retail outlets , including _" "Many stores , like _" "Other retailers like _" "_ 's free shipping" "local retailer such as _" "national retailers such as _" "retail stores , such as _" "various retailers such as _" "in-store pickup at _" "big retailers such as _" "chains , like _" "retail store such as _" "discounters , such as _" "last thing I bought at _" "we were shopping at _" "select items at _" "stores including _" "national retailers , such as _" "Big retailers like _" "market retailers such as _" "community center anchored by _" "endcap at _" "cameras are available at _" "big box stores such as _" "Many retailers , including _" "consumer electronics store like _" "cash register at _" "national stores such as _" "car audio at _" "Power Supplies at _" "Clearance Items at _" "retailers , like _" "store such as _" "big-name stores like _" "sales clerk at _" "line available at _" "mass market retailers such as _" "sales clerks at _" "name stores like _" "Preferred anchors include _" "Preferred co-tenants include _" "thing I bought at _" "shopping trip to _" "superstores like _" "stockboy at _" "Many retailers such as _" "dollar you spend at _" "Other stores like _" "shopping at _" "merchandisers , such as _" "other retailers like _" "property is anchored by _" "_ do price matching" "deals going on at _" "major chains such as _" "Anchor tenants include _" "big-box retailers , such as _" "brick-and-mortar stores like _" "retail chains including _" "Large retailers like _" "Retailers such as _" "consumer electronics store such as _" "deals over at _" "chain stores like _" "local retailers such as _" "stores such as _" "they shop at _" "free gift card to _" "_ is the only store" "_ 's house brand" "Discount retailers such as _" "It 's only available at _" "big retailers like _" "aisles at _" "_ said December sales" "consumer outlets such as _" "dvd players at _" "big chain stores like _" "big-box retailers like _" "store chains such as _" "retail channels such as _" "_ is closing stores" "stuff they sell at _" "retail stores , like _" "retailers nationwide including _" "It was purchased at _" "DVD section at _" "retails such as _" "many retailers such as _" "large retail stores like _" "retailers like _" "retail stores including _" "same set at _" "big chains like _" "box retailers , such as _" "big stores like _" "chains such as _" "chain stores , including _" "Major retailers , such as _" "she bought at _" "anchor stores of _" "other stores such as _" "large chain stores such as _" "I do not shop at _" "I have always shopped at _" "partner stores like _" "stores , such as _" "Shipping Day offer for _" "store like _" "store managers at _" "merchants such as _" "national retailers including _" "Chains such as _" "DVD sales at _" "online stores , such as _" "popular retailers like _" "retail shops like _" "retail chains , like _" "Anchor tenants are _" "shelves at _" "national chain stores like _" "price cuts at _" "retailer such as _" "big box retailers like _" "top retailers such as _" "other retailers , including _" "I purchased at _" "Retailers , including _" "we bought at _" "clearance sales at _" "chain retailers such as _" "online stores including _" "mortar stores such as _" "retailers such as _" "anchors include _" "big boxes like _" "big-box retailers , including _" "electronics store such as _" "major retailers , like _" "retail stores such as _" "I shopped at _" "Big chains like _" "box stores like _" "_ 's Black Friday deals" "display model at _" "I went shopping at _" "big-box stores like _" "local stores like _" "retailer , such as _" "large retailer such as _" "customers shopping at _" "clearance rack at _" "popular retailers such as _" "_ 's weekly ad" "saleswoman at _" "large retailers such as _" "longer shop at _" "local places like _" "retailer like _" "retailers , including _" "retail giants like _" "retail outlets such as _" "retailers besides _" "specialty store like _" "EDI requirements for _" "national chains such as _" "major retailers such as _" "online retailers , including _" "_ is a nationwide chain" "box stores , like _" "Free Shipping Day offer for _" "_ is n't the only store" "shopping spree at _" "box retailers like _" "Prices at _" "Many stores , such as _" "box retailers , including _" "stores nationwide , including _" "stock boy at _" "retail partners like _" "discrimination lawsuit against _" "clearance sale at _" "chain stores , such as _" "chain stores such as _" "dvd player at _" "clearance bin at _" "box I bought from _" "other stores , including _" "such retailers as _" "computer store like _" "department stores such as _" "HD DVD player at _" "Retail stores like _" "retailer , like _" "box retailers such as _" "big-box stores such as _" "Day offer for _" "I bought at _" "other stores like _" "stores , like _" "cashier at _" "co-tenants include _" "merchants like _" "retailers , such as _" "store chains like _" "national retailers like _" "I have n't shopped at _" "I have not shopped at _" "I have bought at _" "I recently bought at _" "mine today at _" "sales associate at _" "retail outlet such as _" "large stores such as _" "box stores such as _" "bargain bin at _" "chains like _" "retail outlets like _" "market stores like _" "major retailers like _" "large retailers , such as _" "retailing giants such as _" "box store like _" "Supplies at _" "Yesterday I stopped at _" "I stopped shopping at _" "Major retailers , including _" "specialty stores like _" "I do n't shop at _" "_ has the same item" "US retailers including _" "major stores like _" "major chains like _" "major retail outlets such as _" "large retailers , including _" "retail stores like _" "_ are the anchor stores" "such stores as _" "store brands from _" "stocking shelves at _" "merchant reviews for _" "larger stores like _" "retail chains like _" "traditional retailers such as _" "discount chains like _" "such chains as _" "such national chains as _" "corporate sponsors such as _" "local store such as _" "national chains like _" "center anchored by _" "anchor stores such as _" "_ 's weekly flyer" ] using circuit_city
CPL @1100 (97.6%) on 30-jan-2018 [ "chain stores like _" "large store like _" "local stores like _" "store like _" "stores like _" "major retailers like _" "retailers like _" "_ is a nationwide chain" "store such as _" ] using circut_city
SEAL @634 (83.3%) on 13-sep-2012 [ 12345 ] using circuit_city
CPL @1116 (93.8%) on 06-sep-2018 [ "arg1 has been in talks with arg2" "arg1 offered to buy arg2" "arg1 tried to buy arg2" "arg1 makes a bid for arg2" ] using (blockbuster, circuit_city)
SEAL @565 (50.0%) on 10-may-2012 [ 1 ] using (blockbuster, circuit_city)
CPL @1116 (93.8%) on 06-sep-2018 [ "arg1 has been in talks with arg2" "arg1 offered to buy arg2" "arg1 tried to buy arg2" "arg1 makes a bid for arg2" ] using (circuit_city, blockbuster)
SEAL @565 (50.0%) on 10-may-2012 [ 1 ] using (circuit_city, blockbuster)
CPL @1116 (93.8%) on 06-sep-2018 [ "arg1 has been in talks with arg2" "arg1 offered to buy arg2" "arg1 tried to buy arg2" "arg1 makes a bid for arg2" ] using (blockbuster, circuit_city)
SEAL @565 (50.0%) on 10-may-2012 [ 1 ] using (blockbuster, circuit_city)
CPL @1116 (93.8%) on 06-sep-2018 [ "arg1 has been in talks with arg2" "arg1 offered to buy arg2" "arg1 tried to buy arg2" "arg1 makes a bid for arg2" ] using (circuit_city, blockbuster)
SEAL @565 (50.0%) on 10-may-2012 [ 1 ] using (circuit_city, blockbuster)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city_stores, richmond)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city, richmond)
NELL has only weak evidence for items listed in grey
CPL @1116 (93.8%) on 06-sep-2018 [ "arg1 has been in talks with arg2" "arg1 offered to buy arg2" "arg1 tried to buy arg2" "arg1 makes a bid for arg2" ] using (blockbuster, circuit_city)
SEAL @565 (50.0%) on 10-may-2012 [ 1 ] using (blockbuster, circuit_city)
CPL @1116 (93.8%) on 06-sep-2018 [ "arg1 has been in talks with arg2" "arg1 offered to buy arg2" "arg1 tried to buy arg2" "arg1 makes a bid for arg2" ] using (circuit_city, blockbuster)
SEAL @565 (50.0%) on 10-may-2012 [ 1 ] using (circuit_city, blockbuster)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city_stores, richmond)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city, richmond)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city_stores, richmond)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city, richmond)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city_stores, richmond)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city, richmond)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city_stores, richmond)
PRA @960 (100.0%) on 10-nov-2015 [ "Y~X0~concept:hasofficeincity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:atlocation" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:buildinglocatedincity" "Y~_z-concept:country:usa~concept:geopoliticallocationcontainsstate,concept:statecontainscity" "Y~X0~concept:hasofficeincity,concept:cityhasairport,concept:relatedto" ] using (circuit_city, richmond)