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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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train
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
30,007,840,201
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train
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129851880@N07
32,424,188,103
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train
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129851880@N07
35,000,781,974
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train
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129851880@N07
21,514,666,875
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train
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129851880@N07
29,945,137,175
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train
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129851880@N07
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train
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129851880@N07
24,778,738,142
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
28,873,101,195
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train
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129851880@N07
28,979,688,325
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train
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129851880@N07
26,089,048,646
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train
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129851880@N07
32,868,058,161
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train
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129851880@N07
30,775,703,315
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train
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129851880@N07
32,471,043,113
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train
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129851880@N07
27,763,125,366
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train
[ "beef", "bowl", "condiment", "wood_processed" ]
129851880@N07
26,483,169,873
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train
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129851880@N07
26,120,412,572
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train
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129851880@N07
23,002,674,284
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train
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129851880@N07
25,996,577,776
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train
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129851880@N07
35,810,540,002
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train
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129851880@N07
28,377,110,971
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train
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129851880@N07
21,839,982,224
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train
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129851880@N07
33,074,827,350
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train
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129851880@N07
30,566,160,256
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train
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129851880@N07
32,614,723,744
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train
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129851880@N07
34,722,256,182
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train
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129851880@N07
27,788,281,425
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train
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129851880@N07
28,498,363,360
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train
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129851880@N07
26,376,116,536
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train
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129851880@N07
23,388,060,142
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train
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129851880@N07
18,400,210,714
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train
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129851880@N07
32,062,450,406
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train
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129851880@N07
33,967,378,121
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train
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129851880@N07
29,443,911,300
[ "equipment", "food", "liquid", "structure" ]
train
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129851880@N07
27,421,573,286
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train
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129851880@N07
30,328,374,612
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train
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129851880@N07
37,596,037,884
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train
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129851880@N07
25,360,825,230
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train
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129851880@N07
27,558,770,856
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train
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129851880@N07
33,327,742,496
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train
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129851880@N07
31,452,445,662
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train
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129851880@N07
39,071,077,021
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train
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129851880@N07
33,988,816,905
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train
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129851880@N07
31,947,377,393
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train
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129851880@N07
22,663,159,877
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train
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129851880@N07
24,899,279,903
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train
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129851880@N07
28,892,315,035
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train
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129851880@N07
28,254,159,086
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train
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