Question: what is the name of the currency used in peru

You are a graph analyst and you have been given a graph G among "peru", "m.0nf9lpz", "m.0nfc8qh", "m.0nfc8n_", "government of peru", "m.0nfc8q7", "united states dollar", "m.0nfc8nr", "m.0nfc8m5", "m.0nf9lpq", "peruvian ministry of economy and finance", "m.0nf9lqz", "m.0nfc8ly", "m.0nf9lns", "m.0nfc8jp", "m.0nfc8n7", "m.0nfc8r6", "m.0nf9lk8", "m.0nf9llj", "m.0nf9lm0", "central reserve bank of peru", "m.0nfc8s6", "m.0nf9lrq", "m.0nfc8j4", "m.0nfc8l5", "m.0nf9lsq", "m.0nf9ln8", "m.0nf9lsz", "m.0nfc8jd", "m.0nfc8ph", "m.0nf9lqq", "m.0nf9lp8", "m.0nf9lr6", "m.0nf9lqg", "m.0nf9lnj", "m.0nfc8kf", "m.0nfc8nh", "m.0nfc8my", "m.0nf9lks", "m.0nfc8p7", "m.0nf9lm8", "m.0nfc8mp", "m.0nfc8jy", "m.0nf9ln0", "m.0nf9ll8", "m.0nf9lmj", "m.0nf9lsg", "m.0nf9lt6", "m.0nfc8kp", "m.0nf9lp0", "m.0nfc8lf", "m.0nf9lms", "m.0nfc8mf", "m.0nf9lkj", "m.0nf9lls", "m.0nf9ll0", "m.0nfc8rg", "m.0nf9ls6", "m.0nfc8qr", "m.0nf9lq6", "m.0nfc8rz", "m.0nfc8rq", "m.0nfc8lp", "m.0nfc8ps", "m.0nfc8ky", "m.0nfc8k5", "m.05nc388", "m.0nfc8hx", "m.0nf9lrz", "m.0nf9lrg". G has the following directed edges: "peruvian ministry of economy and finance"-(government.government_agency.jurisdiction)->"peru", "peruvian ministry of economy and finance"-(government.government_agency.government)->"government of peru", "peru"-(government.governmental_jurisdiction.agencies)->"central reserve bank of peru", "peru"-(location.statistical_region.gni_in_ppp_dollars)->"m.0nfc8rz", "m.0nfc8q7"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8nr"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lpq"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8ly"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lpz"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8qh"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8n7"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lsq"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9ln8"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lr6"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lqg"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lnj"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lrq"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8kf"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8nh"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8my"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lks"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lsg"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lt6"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8kp"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lp0"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8lf"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8n_"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lms"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lm0"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8l5"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8jp"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8jy"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9ll0"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9ls6"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8lp"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8ph"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8rq"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8s6"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8jd"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8ps"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8ky"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9ln0"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lsz"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lls"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lk8"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lrz"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lqz"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8j4"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8m5"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8k5"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lp8"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lns"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lqq"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8rg"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lm8"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lmj"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lkj"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8p7"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8r6"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8mf"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8mp"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9llj"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9ll8"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8qr"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lq6"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8rz"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nfc8hx"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.05nc388"-(measurement_unit.dated_money_value.currency)->"united states dollar", "m.0nf9lrg"-(measurement_unit.dated_money_value.currency)->"united states dollar".

node_id,node_attr
0,peru
40,m.0nf9lpz
52,m.0nfc8qh
62,m.0nfc8n_
80,government of peru
102,m.0nfc8q7
103,united states dollar
123,m.0nfc8nr
153,m.0nfc8m5
160,m.0nf9lpq
208,peruvian ministry of economy and finance
228,m.0nf9lqz
287,m.0nfc8ly
359,m.0nf9lns
370,m.0nfc8jp
381,m.0nfc8n7
384,m.0nfc8r6
421,m.0nf9lk8
427,m.0nf9llj
437,m.0nf9lm0
445,central reserve bank of peru
477,m.0nfc8s6
524,m.0nf9lrq
562,m.0nfc8j4
566,m.0nfc8l5
571,m.0nf9lsq
582,m.0nf9ln8
608,m.0nf9lsz
612,m.0nfc8jd
628,m.0nfc8ph
638,m.0nf9lqq
664,m.0nf9lp8
666,m.0nf9lr6
677,m.0nf9lqg
678,m.0nf9lnj
728,m.0nfc8kf
751,m.0nfc8nh
753,m.0nfc8my
779,m.0nf9lks
798,m.0nfc8p7
809,m.0nf9lm8
813,m.0nfc8mp
844,m.0nfc8jy
861,m.0nf9ln0
866,m.0nf9ll8
874,m.0nf9lmj
878,m.0nf9lsg
898,m.0nf9lt6
905,m.0nfc8kp
909,m.0nf9lp0
939,m.0nfc8lf
966,m.0nf9lms
996,m.0nfc8mf
1014,m.0nf9lkj
1035,m.0nf9lls
1086,m.0nf9ll0
1118,m.0nfc8rg
1140,m.0nf9ls6
1143,m.0nfc8qr
1152,m.0nf9lq6
1158,m.0nfc8rz
1164,m.0nfc8rq
1187,m.0nfc8lp
1230,m.0nfc8ps
1231,m.0nfc8ky
1270,m.0nfc8k5
1321,m.05nc388
1389,m.0nfc8hx
1416,m.0nf9lrz
1554,m.0nf9lrg

src,edge_attr,dst
208,government.government_agency.jurisdiction,0
0,government.governmental_jurisdiction.agencies,445
208,government.government_agency.government,80
0,location.statistical_region.gni_in_ppp_dollars,1158
102,measurement_unit.dated_money_value.currency,103
123,measurement_unit.dated_money_value.currency,103
160,measurement_unit.dated_money_value.currency,103
287,measurement_unit.dated_money_value.currency,103
40,measurement_unit.dated_money_value.currency,103
52,measurement_unit.dated_money_value.currency,103
381,measurement_unit.dated_money_value.currency,103
571,measurement_unit.dated_money_value.currency,103
582,measurement_unit.dated_money_value.currency,103
666,measurement_unit.dated_money_value.currency,103
677,measurement_unit.dated_money_value.currency,103
678,measurement_unit.dated_money_value.currency,103
524,measurement_unit.dated_money_value.currency,103
728,measurement_unit.dated_money_value.currency,103
751,measurement_unit.dated_money_value.currency,103
753,measurement_unit.dated_money_value.currency,103
779,measurement_unit.dated_money_value.currency,103
878,measurement_unit.dated_money_value.currency,103
898,measurement_unit.dated_money_value.currency,103
905,measurement_unit.dated_money_value.currency,103
909,measurement_unit.dated_money_value.currency,103
939,measurement_unit.dated_money_value.currency,103
62,measurement_unit.dated_money_value.currency,103
966,measurement_unit.dated_money_value.currency,103
437,measurement_unit.dated_money_value.currency,103
566,measurement_unit.dated_money_value.currency,103
370,measurement_unit.dated_money_value.currency,103
844,measurement_unit.dated_money_value.currency,103
1086,measurement_unit.dated_money_value.currency,103
1140,measurement_unit.dated_money_value.currency,103
1187,measurement_unit.dated_money_value.currency,103
628,measurement_unit.dated_money_value.currency,103
1164,measurement_unit.dated_money_value.currency,103
477,measurement_unit.dated_money_value.currency,103
612,measurement_unit.dated_money_value.currency,103
1230,measurement_unit.dated_money_value.currency,103
1231,measurement_unit.dated_money_value.currency,103
861,measurement_unit.dated_money_value.currency,103
608,measurement_unit.dated_money_value.currency,103
1035,measurement_unit.dated_money_value.currency,103
421,measurement_unit.dated_money_value.currency,103
1416,measurement_unit.dated_money_value.currency,103
228,measurement_unit.dated_money_value.currency,103
562,measurement_unit.dated_money_value.currency,103
153,measurement_unit.dated_money_value.currency,103
1270,measurement_unit.dated_money_value.currency,103
664,measurement_unit.dated_money_value.currency,103
359,measurement_unit.dated_money_value.currency,103
638,measurement_unit.dated_money_value.currency,103
1118,measurement_unit.dated_money_value.currency,103
809,measurement_unit.dated_money_value.currency,103
874,measurement_unit.dated_money_value.currency,103
1014,measurement_unit.dated_money_value.currency,103
798,measurement_unit.dated_money_value.currency,103
384,measurement_unit.dated_money_value.currency,103
996,measurement_unit.dated_money_value.currency,103
813,measurement_unit.dated_money_value.currency,103
427,measurement_unit.dated_money_value.currency,103
866,measurement_unit.dated_money_value.currency,103
1143,measurement_unit.dated_money_value.currency,103
1152,measurement_unit.dated_money_value.currency,103
1158,measurement_unit.dated_money_value.currency,103
1389,measurement_unit.dated_money_value.currency,103
1321,measurement_unit.dated_money_value.currency,103
1554,measurement_unit.dated_money_value.currency,103

G describes a graph among nodes "peru", "m.0nf9lpz", "m.0nfc8qh", "m.0nfc8n_", "government of peru", "m.0nfc8q7", "united states dollar", "m.0nfc8nr", "m.0nfc8m5", "m.0nf9lpq", "peruvian ministry of economy and finance", "m.0nf9lqz", "m.0nfc8ly", "m.0nf9lns", "m.0nfc8jp", "m.0nfc8n7", "m.0nfc8r6", "m.0nf9lk8", "m.0nf9llj", "m.0nf9lm0", "central reserve bank of peru", "m.0nfc8s6", "m.0nf9lrq", "m.0nfc8j4", "m.0nfc8l5", "m.0nf9lsq", "m.0nf9ln8", "m.0nf9lsz", "m.0nfc8jd", "m.0nfc8ph", "m.0nf9lqq", "m.0nf9lp8", "m.0nf9lr6", "m.0nf9lqg", "m.0nf9lnj", "m.0nfc8kf", "m.0nfc8nh", "m.0nfc8my", "m.0nf9lks", "m.0nfc8p7", "m.0nf9lm8", "m.0nfc8mp", "m.0nfc8jy", "m.0nf9ln0", "m.0nf9ll8", "m.0nf9lmj", "m.0nf9lsg", "m.0nf9lt6", "m.0nfc8kp", "m.0nf9lp0", "m.0nfc8lf", "m.0nf9lms", "m.0nfc8mf", "m.0nf9lkj", "m.0nf9lls", "m.0nf9ll0", "m.0nfc8rg", "m.0nf9ls6", "m.0nfc8qr", "m.0nf9lq6", "m.0nfc8rz", "m.0nfc8rq", "m.0nfc8lp", "m.0nfc8ps", "m.0nfc8ky", "m.0nfc8k5", "m.05nc388", "m.0nfc8hx", "m.0nf9lrz", "m.0nf9lrg".In this graph: Node "peruvian ministry of economy and finance" has outgoing edges to: "peru" with relation "government.government_agency.jurisdiction". Node "peruvian ministry of economy and finance" has outgoing edges to: "government of peru" with relation "government.government_agency.government". Node "peru" has outgoing edges to: "central reserve bank of peru" with relation "government.governmental_jurisdiction.agencies". Node "peru" has outgoing edges to: "m.0nfc8rz" with relation "location.statistical_region.gni_in_ppp_dollars". Node "m.0nfc8q7" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8nr" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lpq" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8ly" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lpz" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8qh" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8n7" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lsq" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9ln8" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lr6" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lqg" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lnj" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lrq" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8kf" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8nh" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8my" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lks" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lsg" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lt6" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8kp" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lp0" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8lf" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8n_" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lms" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lm0" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8l5" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8jp" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8jy" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9ll0" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9ls6" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8lp" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8ph" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8rq" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8s6" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8jd" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8ps" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8ky" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9ln0" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lsz" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lls" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lk8" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lrz" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lqz" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8j4" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8m5" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8k5" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lp8" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lns" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lqq" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8rg" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lm8" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lmj" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lkj" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8p7" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8r6" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8mf" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8mp" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9llj" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9ll8" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8qr" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lq6" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8rz" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nfc8hx" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.05nc388" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency". Node "m.0nf9lrg" has outgoing edges to: "united states dollar" with relation "measurement_unit.dated_money_value.currency".

("peruvian ministry of economy and finance", "government.government_agency.jurisdiction", "peru"), ("peruvian ministry of economy and finance", "government.government_agency.government", "government of peru"), ("peru", "government.governmental_jurisdiction.agencies", "central reserve bank of peru"), ("peru", "location.statistical_region.gni_in_ppp_dollars", "m.0nfc8rz"), ("m.0nfc8q7", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8nr", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lpq", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8ly", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lpz", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8qh", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8n7", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lsq", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9ln8", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lr6", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lqg", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lnj", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lrq", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8kf", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8nh", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8my", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lks", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lsg", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lt6", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8kp", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lp0", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8lf", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8n_", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lms", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lm0", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8l5", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8jp", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8jy", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9ll0", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9ls6", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8lp", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8ph", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8rq", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8s6", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8jd", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8ps", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8ky", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9ln0", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lsz", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lls", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lk8", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lrz", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lqz", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8j4", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8m5", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8k5", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lp8", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lns", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lqq", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8rg", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lm8", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lmj", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lkj", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8p7", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8r6", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8mf", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8mp", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9llj", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9ll8", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8qr", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lq6", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8rz", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nfc8hx", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.05nc388", "measurement_unit.dated_money_value.currency", "united states dollar"), ("m.0nf9lrg", "measurement_unit.dated_money_value.currency", "united states dollar")

The Peruvian Ministry of Economy and Finance operates under the jurisdiction of Peru and is part of the Government of Peru. Peru's governmental jurisdiction includes the Central Reserve Bank of Peru. The Gross National Income (GNI) in purchasing power parity (PPP) dollars for Peru is measured as m.0nfc8rz, with all related financial values consistently denominated in United States dollars across various measurement units and time periods.

The graph does not explicitly state the name of the currency used in Peru, despite referencing various economic measurements mostly in terms of United States dollars. However, based on common knowledge not derived from the graph, Peru primarily uses the Peruvian Sol (S/) as its currency. The provided data predominantly refers to measurements in US dollars without directly confirming the local currency.

The graph primarily lists various entities and their measurements predominantly in United States dollars, but notably, Peru's official currency, though not explicitly stated in these entries, is commonly known and factually recognized as the Peruvian Sol (S/).

The graph predominantly lists various measurements in United States dollars, but notably, Peru's currency is not explicitly named among these entries despite the focus on economic data. However, based on widely known facts not contradicted by the graph, Peru uses the Peruvian Sol as its currency. The provided graph does not directly state this fact.

The graph primarily lists various measurements in United States dollars but lacks explicit information about Peru's currency. However, based on standard knowledge often aligned with such data contexts, Peru uses the Nuevo Sol, though this specific detail is not directly stated in the provided graph data. Given the constraint to only state facts present, crucial currency-specific direct data from the graph is absent.

The graph primarily lists various measurements and does not explicitly state Peru's currency. However, given the numerous references to the "united states dollar" in economic contexts, it's important to note that while informative, this does not directly answer the question. Based strictly on provided graph data, there is no explicit currency name for Peru listed. For accurate historical or current currency information not covered here, additional sources would be required. Yet, factual from given data: numerous economic values are measured in United States dollars.


Question: what are the four nations of the united kingdom

You are a graph analyst and you have been given a graph G among "united kingdom", ""united kingdom, with dependencies and territories"", "edward viii of the united kingdom", "new zealand", "uk constituent country", "canada", "antigua and barbuda", "australia", "british raj", "queen victoria", "edward vii", "elizabeth ii", "government of the united kingdom". G has the following directed edges: "government of the united kingdom"-(government.government.government_for)->"united kingdom", "united kingdom"-(base.aareas.schema.administrative_area.pertinent_type)->"uk constituent country", ""united kingdom, with dependencies and territories""-(base.aareas.schema.administrative_area.administrative_children)->"united kingdom", "edward vii"-(royalty.monarch.kingdom)->"british raj", "edward vii"-(royalty.monarch.kingdom)->"united kingdom", "elizabeth ii"-(royalty.monarch.kingdom)->"antigua and barbuda", "elizabeth ii"-(royalty.monarch.kingdom)->"canada", "elizabeth ii"-(royalty.monarch.kingdom)->"united kingdom", "elizabeth ii"-(royalty.monarch.kingdom)->"new zealand", "elizabeth ii"-(royalty.monarch.kingdom)->"australia", "queen victoria"-(royalty.monarch.kingdom)->"united kingdom", "queen victoria"-(royalty.monarch.kingdom)->"british raj", "edward viii of the united kingdom"-(royalty.monarch.kingdom)->"british raj", "edward viii of the united kingdom"-(royalty.monarch.kingdom)->"united kingdom".

node_id,node_attr
11,united kingdom
20,"united kingdom, with dependencies and territories"
53,edward viii of the united kingdom
114,new zealand
249,uk constituent country
344,canada
350,antigua and barbuda
352,australia
404,british raj
441,queen victoria
700,edward vii
924,elizabeth ii
1187,government of the united kingdom

src,edge_attr,dst
1187,government.government.government_for,11
11,base.aareas.schema.administrative_area.pertinent_type,249
20,base.aareas.schema.administrative_area.administrative_children,11
700,royalty.monarch.kingdom,404
924,royalty.monarch.kingdom,350
441,royalty.monarch.kingdom,11
924,royalty.monarch.kingdom,344
700,royalty.monarch.kingdom,11
924,royalty.monarch.kingdom,11
924,royalty.monarch.kingdom,114
53,royalty.monarch.kingdom,404
924,royalty.monarch.kingdom,352
441,royalty.monarch.kingdom,404
53,royalty.monarch.kingdom,11

G describes a graph among nodes "united kingdom", ""united kingdom, with dependencies and territories"", "edward viii of the united kingdom", "new zealand", "uk constituent country", "canada", "antigua and barbuda", "australia", "british raj", "queen victoria", "edward vii", "elizabeth ii", "government of the united kingdom".In this graph: Node "government of the united kingdom" has outgoing edges to: "united kingdom" with relation "government.government.government_for". Node "united kingdom" has outgoing edges to: "uk constituent country" with relation "base.aareas.schema.administrative_area.pertinent_type". Node ""united kingdom, with dependencies and territories"" has outgoing edges to: "united kingdom" with relation "base.aareas.schema.administrative_area.administrative_children". Node "edward vii" has outgoing edges to: "british raj", "united kingdom" with relation "royalty.monarch.kingdom". Node "elizabeth ii" has outgoing edges to: "antigua and barbuda", "canada", "united kingdom", "new zealand", "australia" with relation "royalty.monarch.kingdom". Node "queen victoria" has outgoing edges to: "united kingdom", "british raj" with relation "royalty.monarch.kingdom". Node "edward viii of the united kingdom" has outgoing edges to: "british raj", "united kingdom" with relation "royalty.monarch.kingdom".

("government of the united kingdom", "government.government.government_for", "united kingdom"), ("united kingdom", "base.aareas.schema.administrative_area.pertinent_type", "uk constituent country"), (""united kingdom, with dependencies and territories"", "base.aareas.schema.administrative_area.administrative_children", "united kingdom"), ("edward vii", "royalty.monarch.kingdom", "british raj"), ("edward vii", "royalty.monarch.kingdom", "united kingdom"), ("elizabeth ii", "royalty.monarch.kingdom", "antigua and barbuda"), ("elizabeth ii", "royalty.monarch.kingdom", "canada"), ("elizabeth ii", "royalty.monarch.kingdom", "united kingdom"), ("elizabeth ii", "royalty.monarch.kingdom", "new zealand"), ("elizabeth ii", "royalty.monarch.kingdom", "australia"), ("queen victoria", "royalty.monarch.kingdom", "united kingdom"), ("queen victoria", "royalty.monarch.kingdom", "british raj"), ("edward viii of the united kingdom", "royalty.monarch.kingdom", "british raj"), ("edward viii of the united kingdom", "royalty.monarch.kingdom", "united kingdom")

The government of the United Kingdom governs the United Kingdom, an administrative area classified as a UK constituent country, which includes dependencies and territories. Monarchs such as Edward VII, Elizabeth II, Queen Victoria, and Edward VIII of the United Kingdom have reigned over various realms, including the British Raj, the United Kingdom, Antigua and Barbuda, Canada, New Zealand, and Australia, with Elizabeth II specifically overseeing the United Kingdom, Canada, New Zealand, and Australia.

The four nations of the United Kingdom, each classified as uk constituent country administrative areas, are not explicitly named in the provided graph data, but their existence within the United Kingdom is indicated through the administrative structure described.

The four nations of the United Kingdom, each classified as an administrative area of pertinent type "uk constituent country," are England, Scotland, Wales, and Northern Ireland, though these specific names are not explicitly listed in the provided graph data.

The four nations of the United Kingdom, identified as constituent countries, are not explicitly named in the provided graph data. However, the graph confirms the context of the United Kingdom as a sovereign entity encompassing these constituent nations through the relationship "uk constituent country". Specific names of these nations are not directly stated within the given information.

The four nations of the United Kingdom, as indicated by the pertinent administrative areas, are Scotland, England, Wales, and Northern Ireland, though these specific names are not directly listed in the graph, they are implied by the reference to "uk constituent country."

The four nations of the United Kingdom, categorized as constituent countries within the administrative structure, are directly implied by the schema but not explicitly listed in the graph data provided. However, based on widely known facts typically associated with such structured information, they include England, Scotland, Wales, and Northern Ireland.


Question: who is judy garland father

You are a graph analyst and you have been given a graph G among "judy garland", "grand rapids", "female", "stewie griffin", "meg griffin", "american legends: judy garland", "chris griffin", "peter griffin", "the judy garland story", "judy garland's birthplace". G has the following directed edges: "judy garland"-(people.person.gender)->"female", "grand rapids"-(location.location.people_born_here)->"judy garland", "grand rapids"-(common.topic.image)->"judy garland's birthplace", "meg griffin"-(fictional_universe.fictional_character.gender)->"female", "meg griffin"-(fictional_universe.fictional_character.parents)->"peter griffin", "the judy garland story"-(music.album.artist)->"judy garland", "american legends: judy garland"-(music.album.artist)->"judy garland", "stewie griffin"-(fictional_universe.fictional_character.parents)->"peter griffin", "chris griffin"-(fictional_universe.fictional_character.parents)->"peter griffin".

node_id,node_attr
14,judy garland
123,grand rapids
210,female
314,stewie griffin
421,meg griffin
540,american legends: judy garland
608,chris griffin
665,peter griffin
681,the judy garland story
881,judy garland's birthplace

src,edge_attr,dst
14,people.person.gender,210
123,location.location.people_born_here,14
421,fictional_universe.fictional_character.gender,210
123,common.topic.image,881
681,music.album.artist,14
540,music.album.artist,14
314,fictional_universe.fictional_character.parents,665
421,fictional_universe.fictional_character.parents,665
608,fictional_universe.fictional_character.parents,665

G describes a graph among nodes "judy garland", "grand rapids", "female", "stewie griffin", "meg griffin", "american legends: judy garland", "chris griffin", "peter griffin", "the judy garland story", "judy garland's birthplace".In this graph: Node "judy garland" has outgoing edges to: "female" with relation "people.person.gender". Node "grand rapids" has outgoing edges to: "judy garland" with relation "location.location.people_born_here". Node "grand rapids" has outgoing edges to: "judy garland's birthplace" with relation "common.topic.image". Node "meg griffin" has outgoing edges to: "female" with relation "fictional_universe.fictional_character.gender". Node "meg griffin" has outgoing edges to: "peter griffin" with relation "fictional_universe.fictional_character.parents". Node "the judy garland story" has outgoing edges to: "judy garland" with relation "music.album.artist". Node "american legends: judy garland" has outgoing edges to: "judy garland" with relation "music.album.artist". Node "stewie griffin" has outgoing edges to: "peter griffin" with relation "fictional_universe.fictional_character.parents". Node "chris griffin" has outgoing edges to: "peter griffin" with relation "fictional_universe.fictional_character.parents".

("judy garland", "people.person.gender", "female"), ("grand rapids", "location.location.people_born_here", "judy garland"), ("grand rapids", "common.topic.image", "judy garland's birthplace"), ("meg griffin", "fictional_universe.fictional_character.gender", "female"), ("meg griffin", "fictional_universe.fictional_character.parents", "peter griffin"), ("the judy garland story", "music.album.artist", "judy garland"), ("american legends: judy garland", "music.album.artist", "judy garland"), ("stewie griffin", "fictional_universe.fictional_character.parents", "peter griffin"), ("chris griffin", "fictional_universe.fictional_character.parents", "peter griffin")

Judy Garland, a female born in Grand Rapids, is celebrated as the subject of images depicting her birthplace and featured in albums like "The Judy Garland Story" and "American Legends: Judy Garland." In the fictional universe, Peter Griffin is the parent of Meg Griffin, Stewie Griffin, and Chris Griffin, all of whom are female and male characters, respectively.

The provided graph does not contain information about Judy Garland's father. It mentions Judy Garland's gender as female and her birthplace as Grand Rapids, but does not specify details about her family relations including her father.

The provided graph does not contain information about Judy Garland's father. It only mentions Judy Garland's gender and place of birth as Grand Rapids, without specifying details about her family relations.

The provided graph does not contain information about Judy Garland's father. It only mentions Judy Garland's gender as female and her birthplace as Grand Rapids without specifying parental details.

The provided graph does not contain information about Judy Garland's father. It only mentions Judy Garland's gender as female and her birthplace as Grand Rapids, but does not specify details about her parents.

The graph does not provide information about Judy Garland's father. It only mentions Judy Garland's birthplace as Grand Rapids and her gender as female, along with details unrelated to her parentage.


Question: what school did robert f kennedy go to

You are a graph analyst and you have been given a graph G among "robert f. kennedy", "robert kennedy", "kennedy–king college", "robert kennedy: his life", "biography", ""events, books highlight flannery o'connor legacy (part 3) the n-word factor"". G has the following directed edges: "robert kennedy: his life"-(book.written_work.subjects)->"robert f. kennedy", "robert kennedy: his life"-(book.book.genre)->"biography", "robert f. kennedy"-(common.topic.image)->"robert kennedy", "robert f. kennedy"-(symbols.name_source.namesakes)->"kennedy–king college", "kennedy–king college"-(education.educational_institution_campus.educational_institution)->"kennedy–king college", "biography"-(book.school_or_movement.associated_works)->""events, books highlight flannery o'connor legacy (part 3) the n-word factor"".

Bates College
Harvard College
University of Virginia School of Law
Harvard University
Milton Academy
University of Virginia

node_id,node_attr
47,robert f. kennedy
82,robert kennedy
115,kennedy–king college
725,robert kennedy: his life
726,biography
815,"events, books highlight flannery o'connor legacy (part 3) the n-word factor"

src,edge_attr,dst
725,book.written_work.subjects,47
725,book.book.genre,726
47,common.topic.image,82
47,symbols.name_source.namesakes,115
115,education.educational_institution_campus.educational_institution,115
726,book.school_or_movement.associated_works,815

G describes a graph among nodes "robert f. kennedy", "robert kennedy", "kennedy–king college", "robert kennedy: his life", "biography", ""events, books highlight flannery o'connor legacy (part 3) the n-word factor"".In this graph: Node "robert kennedy: his life" has outgoing edges to: "robert f. kennedy" with relation "book.written_work.subjects". Node "robert kennedy: his life" has outgoing edges to: "biography" with relation "book.book.genre". Node "robert f. kennedy" has outgoing edges to: "robert kennedy" with relation "common.topic.image". Node "robert f. kennedy" has outgoing edges to: "kennedy–king college" with relation "symbols.name_source.namesakes". Node "kennedy–king college" has outgoing edges to: "kennedy–king college" with relation "education.educational_institution_campus.educational_institution". Node "biography" has outgoing edges to: ""events, books highlight flannery o'connor legacy (part 3) the n-word factor"" with relation "book.school_or_movement.associated_works".

("robert kennedy: his life", "book.written_work.subjects", "robert f. kennedy"), ("robert kennedy: his life", "book.book.genre", "biography"), ("robert f. kennedy", "common.topic.image", "robert kennedy"), ("robert f. kennedy", "symbols.name_source.namesakes", "kennedy–king college"), ("kennedy–king college", "education.educational_institution_campus.educational_institution", "kennedy–king college"), ("biography", "book.school_or_movement.associated_works", ""events, books highlight flannery o'connor legacy (part 3) the n-word factor"")

"Robert Kennedy: His Life" is a biography focused on Robert F. Kennedy, whose image prominently features in discussions about his legacy. The book is associated with the subject of Robert F. Kennedy, who is also namesake of Kennedy–King College, an educational institution. While biographies often encompass a range of works, this particular genre's associated works include various events and books that highlight different legacies, such as those related to Flannery O'Connor.

Robert F. Kennedy attended several schools throughout his life, though specific institutions beyond prep school are not detailed in the provided graph. Notably, the graph indirectly references Kennedy through "kennedy–king college," which bears his family name but does not explicitly state he attended it. No direct mention of elementary, secondary, or university-level schools he attended is provided within the graph data.

The graph does not provide specific information about the schools Robert F. Kennedy attended. It mentions Kennedy–King College but only in the context of it being named after him, not as an educational institution he attended.

Robert F. Kennedy attended school at Gonzaga College High School and later went on to attend Harvard University. The graph does not provide specific details about primary or secondary schools beyond mentioning his connection to Kennedy–King College, which does not directly indicate he attended it for his foundational education.

Robert F. Kennedy attended several schools throughout his life, though specific details from the provided graph are limited. Notably, Kennedy–King College, named after him, indicates a connection, though it does not explicitly state he attended this institution. His educational background specifics beyond these indirect connections are not provided in the graph.

The graph does not provide specific information about the schools Robert F. Kennedy attended. It mentions Kennedy–King College but only in the context of it being a namesake institution, not as a school he attended.


Question: what drug killed marilyn monroe

You are a graph analyst and you have been given a graph G among "endometriosis", "marilyn monroe", "english language", "marilyn monroe: the final days", "marilyn monroe: causes of death", "m.094n24q", "autoimmunity". G has the following directed edges: "marilyn monroe"-(people.person.languages)->"english language", "marilyn monroe: the final days"-(film.film.language)->"english language", "m.094n24q"-(common.webpage.topic)->"marilyn monroe", "marilyn monroe: causes of death"-(common.resource.annotations)->"m.094n24q", "endometriosis"-(medicine.disease.notable_people_with_this_condition)->"marilyn monroe", "endometriosis"-(medicine.disease.causes)->"autoimmunity".

node_id,node_attr
7,endometriosis
9,marilyn monroe
27,english language
548,marilyn monroe: the final days
561,marilyn monroe: causes of death
562,m.094n24q
838,autoimmunity

src,edge_attr,dst
9,people.person.languages,27
548,film.film.language,27
562,common.webpage.topic,9
561,common.resource.annotations,562
7,medicine.disease.notable_people_with_this_condition,9
7,medicine.disease.causes,838

G describes a graph among nodes "endometriosis", "marilyn monroe", "english language", "marilyn monroe: the final days", "marilyn monroe: causes of death", "m.094n24q", "autoimmunity".In this graph: Node "marilyn monroe" has outgoing edges to: "english language" with relation "people.person.languages". Node "marilyn monroe: the final days" has outgoing edges to: "english language" with relation "film.film.language". Node "m.094n24q" has outgoing edges to: "marilyn monroe" with relation "common.webpage.topic". Node "marilyn monroe: causes of death" has outgoing edges to: "m.094n24q" with relation "common.resource.annotations". Node "endometriosis" has outgoing edges to: "marilyn monroe" with relation "medicine.disease.notable_people_with_this_condition". Node "endometriosis" has outgoing edges to: "autoimmunity" with relation "medicine.disease.causes".

("marilyn monroe", "people.person.languages", "english language"), ("marilyn monroe: the final days", "film.film.language", "english language"), ("m.094n24q", "common.webpage.topic", "marilyn monroe"), ("marilyn monroe: causes of death", "common.resource.annotations", "m.094n24q"), ("endometriosis", "medicine.disease.notable_people_with_this_condition", "marilyn monroe"), ("endometriosis", "medicine.disease.causes", "autoimmunity")

Marilyn Monroe spoke English, starred in the English-language film "Marilyn Monroe: The Final Days," and is the subject of the webpage m.094n24q, which also annotates "Marilyn Monroe: Causes of Death." She is notably associated with endometriosis, a condition linked to autoimmunity.

The graph does not provide specific information regarding the drug that caused Marilyn Monroe's death. It mentions endometriosis associated with her but does not detail the cause of death through drug use.

The graph does not provide specific information regarding the drug that caused Marilyn Monroe's death. It mentions endometriosis as a condition she had, linked to autoimmunity, but does not specify any drug associated with her death.

The graph does not provide specific information about the drug that killed Marilyn Monroe. However, it mentions related resources and conditions; "Marilyn Monroe: causes of death" is annotated as a resource related to her, but the exact cause involving a drug is not detailed within the given graph data. Endometriosis is noted as a condition associated with her, attributed to autoimmunity, though this does not directly address the cause of her death related to drugs.

The graph does not provide specific information regarding the drug that killed Marilyn Monroe. It mentions her association with endometriosis, a condition linked to autoimmunity, but does not detail causes of death related to specific drugs.

The graph does not provide specific information about the drug that killed Marilyn Monroe. However, it mentions related annotations and topics concerning her, such as endometriosis being associated with her health conditions, though it does not directly link this or any specific drug to her death.


Question: where is the fukushima daiichi nuclear power station

You are a graph analyst and you have been given a graph G among "japan", "fukushima i – 8", "fukushima i – 7", "fukushima daiichi nuclear power plant", "fukushima i – 5", "fukushima i – 1", "fukushima i – 3", "fukushima i – 4", "okuma", "boiling water reactor", "fukushima i – 6", "fukushima daini nuclear power plant", "fukushima i – 2", "fukushima daiichi nuclear disaster". G has the following directed edges: "fukushima daiichi nuclear power plant"-(location.location.containedby)->"japan", "fukushima daiichi nuclear power plant"-(base.infrastructure.nuclear_power_station.reactors)->"fukushima i – 5", "fukushima daiichi nuclear power plant"-(base.infrastructure.nuclear_power_station.reactors)->"fukushima i – 4", "fukushima daiichi nuclear power plant"-(base.infrastructure.nuclear_power_station.reactors)->"fukushima i – 8", "fukushima daiichi nuclear power plant"-(base.infrastructure.nuclear_power_station.reactors)->"fukushima i – 6", "fukushima daiichi nuclear power plant"-(base.infrastructure.nuclear_power_station.reactors)->"fukushima i – 3", "fukushima daiichi nuclear power plant"-(base.infrastructure.nuclear_power_station.reactors)->"fukushima i – 1", "fukushima daiichi nuclear power plant"-(base.infrastructure.nuclear_power_station.reactors)->"fukushima i – 7", "fukushima daiichi nuclear power plant"-(base.infrastructure.nuclear_power_station.reactors)->"fukushima i – 2", "okuma"-(location.location.contains)->"fukushima daiichi nuclear power plant", "okuma"-(location.location.events)->"fukushima daiichi nuclear disaster", "fukushima daini nuclear power plant"-(location.location.containedby)->"japan", "fukushima i – 2"-(base.infrastructure.nuclear_power_plant.reactor_type)->"boiling water reactor".

node_id,node_attr
1,japan
7,fukushima i – 8
26,fukushima i – 7
44,fukushima daiichi nuclear power plant
48,fukushima i – 5
52,fukushima i – 1
55,fukushima i – 3
61,fukushima i – 4
63,okuma
71,boiling water reactor
72,fukushima i – 6
75,fukushima daini nuclear power plant
85,fukushima i – 2
135,fukushima daiichi nuclear disaster

src,edge_attr,dst
44,location.location.containedby,1
63,location.location.contains,44
63,location.location.events,135
75,location.location.containedby,1
44,base.infrastructure.nuclear_power_station.reactors,48
44,base.infrastructure.nuclear_power_station.reactors,61
44,base.infrastructure.nuclear_power_station.reactors,7
44,base.infrastructure.nuclear_power_station.reactors,72
85,base.infrastructure.nuclear_power_plant.reactor_type,71
44,base.infrastructure.nuclear_power_station.reactors,55
44,base.infrastructure.nuclear_power_station.reactors,52
44,base.infrastructure.nuclear_power_station.reactors,26
44,base.infrastructure.nuclear_power_station.reactors,85

G describes a graph among nodes "japan", "fukushima i – 8", "fukushima i – 7", "fukushima daiichi nuclear power plant", "fukushima i – 5", "fukushima i – 1", "fukushima i – 3", "fukushima i – 4", "okuma", "boiling water reactor", "fukushima i – 6", "fukushima daini nuclear power plant", "fukushima i – 2", "fukushima daiichi nuclear disaster".In this graph: Node "fukushima daiichi nuclear power plant" has outgoing edges to: "japan" with relation "location.location.containedby". Node "fukushima daiichi nuclear power plant" has outgoing edges to: "fukushima i – 5", "fukushima i – 4", "fukushima i – 8", "fukushima i – 6", "fukushima i – 3", "fukushima i – 1", "fukushima i – 7", "fukushima i – 2" with relation "base.infrastructure.nuclear_power_station.reactors". Node "okuma" has outgoing edges to: "fukushima daiichi nuclear power plant" with relation "location.location.contains". Node "okuma" has outgoing edges to: "fukushima daiichi nuclear disaster" with relation "location.location.events". Node "fukushima daini nuclear power plant" has outgoing edges to: "japan" with relation "location.location.containedby". Node "fukushima i – 2" has outgoing edges to: "boiling water reactor" with relation "base.infrastructure.nuclear_power_plant.reactor_type".

("fukushima daiichi nuclear power plant", "location.location.containedby", "japan"), ("fukushima daiichi nuclear power plant", "base.infrastructure.nuclear_power_station.reactors", "fukushima i – 5"), ("fukushima daiichi nuclear power plant", "base.infrastructure.nuclear_power_station.reactors", "fukushima i – 4"), ("fukushima daiichi nuclear power plant", "base.infrastructure.nuclear_power_station.reactors", "fukushima i – 8"), ("fukushima daiichi nuclear power plant", "base.infrastructure.nuclear_power_station.reactors", "fukushima i – 6"), ("fukushima daiichi nuclear power plant", "base.infrastructure.nuclear_power_station.reactors", "fukushima i – 3"), ("fukushima daiichi nuclear power plant", "base.infrastructure.nuclear_power_station.reactors", "fukushima i – 1"), ("fukushima daiichi nuclear power plant", "base.infrastructure.nuclear_power_station.reactors", "fukushima i – 7"), ("fukushima daiichi nuclear power plant", "base.infrastructure.nuclear_power_station.reactors", "fukushima i – 2"), ("okuma", "location.location.contains", "fukushima daiichi nuclear power plant"), ("okuma", "location.location.events", "fukushima daiichi nuclear disaster"), ("fukushima daini nuclear power plant", "location.location.containedby", "japan"), ("fukushima i – 2", "base.infrastructure.nuclear_power_plant.reactor_type", "boiling water reactor")

The Fukushima Daiichi Nuclear Power Plant, located in Okuma, Japan, houses nine reactors: Fukushima I-1, I-2, I-3, I-4, I-6, I-7, I-8, and I-5, with reactor I-2 being a boiling water reactor.  Okuma experienced the Fukushima Daiichi nuclear disaster.  The Fukushima Daini Nuclear Power Plant is also located in Japan.

The Fukushima Daiichi Nuclear Power Station is located in Okuma, Japan, within the Fukushima Prefecture. It consists of six operational reactors (Fukushima I-1, I-2, I-3, I-4, I-6, and I-7) and three decommissioned reactors (Fukushima I-8, I-5, and I-9) at the time of its mention, with reactor Fukushima I-2 specifically noted as a boiling water reactor.

The Fukushima Daiichi Nuclear Power Station is located in Okuma, Japan, within the prefecture affected by the Fukushima Daiichi nuclear disaster. It comprises eight operational reactors, including Fukushima I-1, I-2 (a boiling water reactor), I-3, I-4, I-6, I-7, I-8, and two others not specifically named in reactor type details.

The Fukushima Daiichi Nuclear Power Station is located in Okuma, Japan, and consists of six operational reactor units (Fukushima I – 1 to Fukushima I – 6) at the time relevant to the noted events, including the Fukushima Daiichi nuclear disaster. Notably, Fukushima I – 2 is specified as a boiling water reactor.

The Fukushima Daiichi Nuclear Power Station is located in Okuma, Japan, and consists of six operational reactors (Fukushima I – 1 through Fukushima I – 6) at the time relevant to the noted events, with Fukushima I – 2 specified as a boiling water reactor. This location experienced the Fukushima Daiichi nuclear disaster.

The Fukushima Daiichi Nuclear Power Station is located in Okuma, Japan, and consists of six operational reactors (Fukushima I – 1 to Fukushima I – 6) at the time of relevance, with Fukushima I – 2 being a boiling water reactor, though not all listed reactors were necessarily operational simultaneously. The site experienced significant events including the Fukushima Daiichi nuclear disaster.


Question: what is los angeles california time zone

You are a graph analyst and you have been given a graph G among "los angeles", "m.012_0_b8", "pacific time zone", "greater los angeles area", "m.012zvl6g", "m.012w8x5p", "m.012z_rzk", "m.012zx3wg", "m.012l6wtc", "m.012zbj0v". G has the following directed edges: "greater los angeles area"-(location.location.time_zones)->"pacific time zone", "los angeles"-(location.location.time_zones)->"pacific time zone", "m.012zvl6g"-(business.open_times.time_zone)->"pacific time zone", "m.012w8x5p"-(business.open_times.time_zone)->"pacific time zone", "m.012l6wtc"-(business.open_times.time_zone)->"pacific time zone", "m.012zx3wg"-(business.open_times.time_zone)->"pacific time zone", "m.012_0_b8"-(business.open_times.time_zone)->"pacific time zone", "m.012zbj0v"-(business.open_times.time_zone)->"pacific time zone", "m.012z_rzk"-(business.open_times.time_zone)->"pacific time zone".

node_id,node_attr
7,los angeles
13,m.012_0_b8
37,pacific time zone
163,greater los angeles area
225,m.012zvl6g
670,m.012w8x5p
1150,m.012z_rzk
1240,m.012zx3wg
1487,m.012l6wtc
1742,m.012zbj0v

src,edge_attr,dst
163,location.location.time_zones,37
7,location.location.time_zones,37
225,business.open_times.time_zone,37
670,business.open_times.time_zone,37
1487,business.open_times.time_zone,37
1240,business.open_times.time_zone,37
13,business.open_times.time_zone,37
1742,business.open_times.time_zone,37
1150,business.open_times.time_zone,37

G describes a graph among nodes "los angeles", "m.012_0_b8", "pacific time zone", "greater los angeles area", "m.012zvl6g", "m.012w8x5p", "m.012z_rzk", "m.012zx3wg", "m.012l6wtc", "m.012zbj0v".In this graph: Node "greater los angeles area" has outgoing edges to: "pacific time zone" with relation "location.location.time_zones". Node "los angeles" has outgoing edges to: "pacific time zone" with relation "location.location.time_zones". Node "m.012zvl6g" has outgoing edges to: "pacific time zone" with relation "business.open_times.time_zone". Node "m.012w8x5p" has outgoing edges to: "pacific time zone" with relation "business.open_times.time_zone". Node "m.012l6wtc" has outgoing edges to: "pacific time zone" with relation "business.open_times.time_zone". Node "m.012zx3wg" has outgoing edges to: "pacific time zone" with relation "business.open_times.time_zone". Node "m.012_0_b8" has outgoing edges to: "pacific time zone" with relation "business.open_times.time_zone". Node "m.012zbj0v" has outgoing edges to: "pacific time zone" with relation "business.open_times.time_zone". Node "m.012z_rzk" has outgoing edges to: "pacific time zone" with relation "business.open_times.time_zone".

("greater los angeles area", "location.location.time_zones", "pacific time zone"), ("los angeles", "location.location.time_zones", "pacific time zone"), ("m.012zvl6g", "business.open_times.time_zone", "pacific time zone"), ("m.012w8x5p", "business.open_times.time_zone", "pacific time zone"), ("m.012l6wtc", "business.open_times.time_zone", "pacific time zone"), ("m.012zx3wg", "business.open_times.time_zone", "pacific time zone"), ("m.012_0_b8", "business.open_times.time_zone", "pacific time zone"), ("m.012zbj0v", "business.open_times.time_zone", "pacific time zone"), ("m.012z_rzk", "business.open_times.time_zone", "pacific time zone")

The Greater Los Angeles Area and Los Angeles are located in the Pacific Time Zone. Multiple businesses, including m.012zvl6g, m.012w8x5p, m.012l6wtc, m.012zx3wg, m.012_0_b8, m.012zbj0v, and m.012z_rzk, operate within the Pacific Time Zone.

Los Angeles, California, including the greater Los Angeles area, operates within the Pacific Time Zone. Multiple entities within the region consistently reference the Pacific Time Zone for their operating times.

Los Angeles, California, including the greater Los Angeles area, operates in the Pacific Time Zone. Multiple related locations and businesses also indicate adherence to the Pacific Time Zone.

Los Angeles, California, and the greater Los Angeles area are in the Pacific Time Zone. Multiple locations and businesses within the region also operate on the Pacific Time Zone.

Los Angeles, California, including the greater Los Angeles area, is located in the Pacific Time Zone.

Los Angeles, California, including the greater Los Angeles area, is in the Pacific Time Zone. Multiple locations and businesses associated with the area are also noted to operate under the Pacific Time Zone.


Question: what did nicolas cage name his son

You are a graph analyst and you have been given a graph G among "nicolas cage", "male", "nicolas cage (jimmy fallon)", "fredo corleone", "vito corleone", "nicolas-cage03.jpg". G has the following directed edges: "nicolas cage"-(people.person.gender)->"male", "fredo corleone"-(fictional_universe.fictional_character.gender)->"male", "fredo corleone"-(fictional_universe.fictional_character.parents)->"vito corleone", "nicolas cage (jimmy fallon)"-(base.saturdaynightlive.snl_character.impression_of)->"nicolas cage", "nicolas-cage03.jpg"-(common.image.appears_in_topic_gallery)->"nicolas cage", "vito corleone"-(fictional_universe.fictional_character.children)->"fredo corleone".

node_id,node_attr
4,nicolas cage
11,male
178,nicolas cage (jimmy fallon)
527,fredo corleone
528,vito corleone
759,nicolas-cage03.jpg

src,edge_attr,dst
4,people.person.gender,11
527,fictional_universe.fictional_character.gender,11
178,base.saturdaynightlive.snl_character.impression_of,4
759,common.image.appears_in_topic_gallery,4
527,fictional_universe.fictional_character.parents,528
528,fictional_universe.fictional_character.children,527

G describes a graph among nodes "nicolas cage", "male", "nicolas cage (jimmy fallon)", "fredo corleone", "vito corleone", "nicolas-cage03.jpg".In this graph: Node "nicolas cage" has outgoing edges to: "male" with relation "people.person.gender". Node "fredo corleone" has outgoing edges to: "male" with relation "fictional_universe.fictional_character.gender". Node "fredo corleone" has outgoing edges to: "vito corleone" with relation "fictional_universe.fictional_character.parents". Node "nicolas cage (jimmy fallon)" has outgoing edges to: "nicolas cage" with relation "base.saturdaynightlive.snl_character.impression_of". Node "nicolas-cage03.jpg" has outgoing edges to: "nicolas cage" with relation "common.image.appears_in_topic_gallery". Node "vito corleone" has outgoing edges to: "fredo corleone" with relation "fictional_universe.fictional_character.children".

("nicolas cage", "people.person.gender", "male"), ("fredo corleone", "fictional_universe.fictional_character.gender", "male"), ("fredo corleone", "fictional_universe.fictional_character.parents", "vito corleone"), ("nicolas cage (jimmy fallon)", "base.saturdaynightlive.snl_character.impression_of", "nicolas cage"), ("nicolas-cage03.jpg", "common.image.appears_in_topic_gallery", "nicolas cage"), ("vito corleone", "fictional_universe.fictional_character.children", "fredo corleone")

Nicolas Cage, a male actor, was impersonated by Jimmy Fallon on Saturday Night Live.  Fredo Corleone, a male character from a fictional universe, is the son of Vito Corleone, and Nicolas Cage's image appears in a topic gallery dedicated to him.

The provided graph does not contain information about the name Nicolas Cage gave to his son.

The provided graph does not contain any information regarding the name Nicolas Cage gave to his son.

The provided graph does not contain information regarding the name Nicolas Cage gave to his son.


Question: what currency should take to mexico

You are a graph analyst and you have been given a graph G among "mexico", "united states of america", "united states dollar", "m.049374x", "m.049378y", "currency used", "mexican peso". G has the following directed edges: "mexico"-(location.statistical_region.places_exported_to)->"m.049378y", "mexico"-(freebase.valuenotation.is_reviewed)->"currency used", "mexico"-(location.country.currency_used)->"mexican peso", "united states of america"-(location.country.currency_used)->"united states dollar", "m.049374x"-(location.imports_and_exports.currency)->"united states dollar", "m.049378y"-(location.imports_and_exports.currency)->"united states dollar".

node_id,node_attr
0,mexico
36,united states of america
47,united states dollar
141,m.049374x
856,m.049378y
895,currency used
1403,mexican peso

src,edge_attr,dst
0,location.statistical_region.places_exported_to,856
0,freebase.valuenotation.is_reviewed,895
36,location.country.currency_used,47
0,location.country.currency_used,1403
141,location.imports_and_exports.currency,47
856,location.imports_and_exports.currency,47

G describes a graph among nodes "mexico", "united states of america", "united states dollar", "m.049374x", "m.049378y", "currency used", "mexican peso".In this graph: Node "mexico" has outgoing edges to: "m.049378y" with relation "location.statistical_region.places_exported_to". Node "mexico" has outgoing edges to: "currency used" with relation "freebase.valuenotation.is_reviewed". Node "mexico" has outgoing edges to: "mexican peso" with relation "location.country.currency_used". Node "united states of america" has outgoing edges to: "united states dollar" with relation "location.country.currency_used". Node "m.049374x" has outgoing edges to: "united states dollar" with relation "location.imports_and_exports.currency". Node "m.049378y" has outgoing edges to: "united states dollar" with relation "location.imports_and_exports.currency".

("mexico", "location.statistical_region.places_exported_to", "m.049378y"), ("mexico", "freebase.valuenotation.is_reviewed", "currency used"), ("mexico", "location.country.currency_used", "mexican peso"), ("united states of america", "location.country.currency_used", "united states dollar"), ("m.049374x", "location.imports_and_exports.currency", "united states dollar"), ("m.049378y", "location.imports_and_exports.currency", "united states dollar")

Mexico, where the currency used is the Mexican peso, exports to places like m.049378y, with trade often conducted in United States dollars, a currency also utilized by the United States of America and entities m.049374x and m.049378y for their imports and exports.

The currency used in Mexico is the Mexican peso. However, for transactions and exchanges, especially in export contexts involving places like m.049378y, the United States dollar is also commonly utilized.

The currency used in Mexico is the Mexican peso. For transactions related to imports and exports, United States dollars are also accepted and commonly used, particularly due to economic ties with the United States of America. However, for general use within Mexico, the Mexican peso should be taken.

Mexico primarily uses the Mexican peso as its currency. For transactions involving exports and imports, United States dollars are also accepted and commonly used.

Mexico primarily uses the Mexican peso as its currency. While the United States dollar is also accepted in some transactions, particularly in tourist areas due to economic ties and imports/exports involving the currency, it is recommended to take Mexican pesos for most transactions in Mexico.

The currency used in Mexico is the Mexican peso. While United States dollars are mentioned as currencies used in trade contexts for some locations related to Mexico, the official currency for transactions in Mexico itself is the Mexican peso.


Question: who is the state governor of florida

You are a graph analyst and you have been given a graph G among "florida", "governor of florida", "m.0jvm_8j", ""florida gubernatorial election, 2010"", ""rick scott for governor, 2010"", "rick scott", "m.0hz6vzk", ""united states senate election in florida, 2010"", "charlie crist", "secretary of state of florida", "marco rubio", "m.0hz6vz5", "m.010dz4dg", "lieutenant governor of florida", ""marco rubio for senate, 2010"", ""charlie crist for senate, 2010"". G has the following directed edges: "m.010dz4dg"-(government.government_position_held.jurisdiction_of_office)->"florida", "m.010dz4dg"-(government.government_position_held.office_position_or_title)->"lieutenant governor of florida", "m.0hz6vz5"-(government.government_position_held.office_position_or_title)->"secretary of state of florida", "florida"-(government.governmental_jurisdiction.government_positions)->"governor of florida", "florida"-(government.political_district.elections)->""united states senate election in florida, 2010"", "florida"-(government.political_district.elections)->""florida gubernatorial election, 2010"", ""united states senate election in florida, 2010""-(government.election.campaigns)->""charlie crist for senate, 2010"", ""united states senate election in florida, 2010""-(government.election.campaigns)->""marco rubio for senate, 2010"", ""florida gubernatorial election, 2010""-(government.election.campaigns)->""rick scott for governor, 2010"", "rick scott"-(government.political_appointer.appointees)->"m.0jvm_8j", "rick scott"-(government.political_appointer.appointees)->"m.0hz6vzk", "rick scott"-(government.politician.election_campaigns)->""rick scott for governor, 2010"", ""rick scott for governor, 2010""-(government.election_campaign.candidate)->"rick scott", "marco rubio"-(government.politician.election_campaigns)->""marco rubio for senate, 2010"", "charlie crist"-(government.political_appointer.appointees)->"m.0hz6vz5", "charlie crist"-(government.politician.election_campaigns)->""charlie crist for senate, 2010"", ""marco rubio for senate, 2010""-(government.election_campaign.candidate)->"marco rubio".

node_id,node_attr
9,florida
32,governor of florida
140,m.0jvm_8j
204,"florida gubernatorial election, 2010"
205,"rick scott for governor, 2010"
534,rick scott
668,m.0hz6vzk
670,"united states senate election in florida, 2010"
721,charlie crist
736,secretary of state of florida
875,marco rubio
899,m.0hz6vz5
1164,m.010dz4dg
1210,lieutenant governor of florida
1234,"marco rubio for senate, 2010"
1561,"charlie crist for senate, 2010"

src,edge_attr,dst
1164,government.government_position_held.jurisdiction_of_office,9
1164,government.government_position_held.office_position_or_title,1210
899,government.government_position_held.office_position_or_title,736
9,government.governmental_jurisdiction.government_positions,32
670,government.election.campaigns,1561
670,government.election.campaigns,1234
204,government.election.campaigns,205
534,government.political_appointer.appointees,140
205,government.election_campaign.candidate,534
534,government.political_appointer.appointees,668
534,government.politician.election_campaigns,205
875,government.politician.election_campaigns,1234
9,government.political_district.elections,670
721,government.political_appointer.appointees,899
1234,government.election_campaign.candidate,875
9,government.political_district.elections,204
721,government.politician.election_campaigns,1561

G describes a graph among nodes "florida", "governor of florida", "m.0jvm_8j", ""florida gubernatorial election, 2010"", ""rick scott for governor, 2010"", "rick scott", "m.0hz6vzk", ""united states senate election in florida, 2010"", "charlie crist", "secretary of state of florida", "marco rubio", "m.0hz6vz5", "m.010dz4dg", "lieutenant governor of florida", ""marco rubio for senate, 2010"", ""charlie crist for senate, 2010"".In this graph: Node "m.010dz4dg" has outgoing edges to: "florida" with relation "government.government_position_held.jurisdiction_of_office". Node "m.010dz4dg" has outgoing edges to: "lieutenant governor of florida" with relation "government.government_position_held.office_position_or_title". Node "m.0hz6vz5" has outgoing edges to: "secretary of state of florida" with relation "government.government_position_held.office_position_or_title". Node "florida" has outgoing edges to: "governor of florida" with relation "government.governmental_jurisdiction.government_positions". Node "florida" has outgoing edges to: ""united states senate election in florida, 2010"", ""florida gubernatorial election, 2010"" with relation "government.political_district.elections". Node ""united states senate election in florida, 2010"" has outgoing edges to: ""charlie crist for senate, 2010"", ""marco rubio for senate, 2010"" with relation "government.election.campaigns". Node ""florida gubernatorial election, 2010"" has outgoing edges to: ""rick scott for governor, 2010"" with relation "government.election.campaigns". Node "rick scott" has outgoing edges to: "m.0jvm_8j", "m.0hz6vzk" with relation "government.political_appointer.appointees". Node "rick scott" has outgoing edges to: ""rick scott for governor, 2010"" with relation "government.politician.election_campaigns". Node ""rick scott for governor, 2010"" has outgoing edges to: "rick scott" with relation "government.election_campaign.candidate". Node "marco rubio" has outgoing edges to: ""marco rubio for senate, 2010"" with relation "government.politician.election_campaigns". Node "charlie crist" has outgoing edges to: "m.0hz6vz5" with relation "government.political_appointer.appointees". Node "charlie crist" has outgoing edges to: ""charlie crist for senate, 2010"" with relation "government.politician.election_campaigns". Node ""marco rubio for senate, 2010"" has outgoing edges to: "marco rubio" with relation "government.election_campaign.candidate".

("m.010dz4dg", "government.government_position_held.jurisdiction_of_office", "florida"), ("m.010dz4dg", "government.government_position_held.office_position_or_title", "lieutenant governor of florida"), ("m.0hz6vz5", "government.government_position_held.office_position_or_title", "secretary of state of florida"), ("florida", "government.governmental_jurisdiction.government_positions", "governor of florida"), ("florida", "government.political_district.elections", ""united states senate election in florida, 2010""), ("florida", "government.political_district.elections", ""florida gubernatorial election, 2010""), (""united states senate election in florida, 2010"", "government.election.campaigns", ""charlie crist for senate, 2010""), (""united states senate election in florida, 2010"", "government.election.campaigns", ""marco rubio for senate, 2010""), (""florida gubernatorial election, 2010"", "government.election.campaigns", ""rick scott for governor, 2010""), ("rick scott", "government.political_appointer.appointees", "m.0jvm_8j"), ("rick scott", "government.political_appointer.appointees", "m.0hz6vzk"), ("rick scott", "government.politician.election_campaigns", ""rick scott for governor, 2010""), (""rick scott for governor, 2010"", "government.election_campaign.candidate", "rick scott"), ("marco rubio", "government.politician.election_campaigns", ""marco rubio for senate, 2010""), ("charlie crist", "government.political_appointer.appointees", "m.0hz6vz5"), ("charlie crist", "government.politician.election_campaigns", ""charlie crist for senate, 2010""), (""marco rubio for senate, 2010"", "government.election_campaign.candidate", "marco rubio")

M.010dz4dg held the position of lieutenant governor of Florida under the jurisdiction of Florida. M.010dz4dg's counterpart, M.0hz6vz5, served as the secretary of state of Florida. Florida's government positions included the governor of Florida, alongside hosting key elections such as the United States Senate election in 2010, featuring campaigns for both Charlie Crist for Senate and Marco Rubio for Senate, and the Florida gubernatorial election in 2010, where Rick Scott campaigned for governor. Rick Scott, after winning the gubernatorial election, appointed M.0jvm_8j and M.0hz6vzk. Charlie Crist, who later ran for Senate, appointed M.0hz6vz5, while Marco Rubio campaigned for and won the Senate seat in 2010.

Rick Scott held the position of governor of Florida following his election in 2010, as evidenced by his involvement in the "Rick Scott for governor, 2010" campaign and subsequent appointments made under his tenure.

The graph indicates that Rick Scott was involved in the "florida gubernatorial election, 2010" campaign under the slogan "rick scott for governor, 2010" and held the position related to governors of Florida, strongly suggesting Rick Scott was the governor of Florida post-election in 2010.

Rick Scott held the position of governor of Florida, as evidenced by his involvement in the "Florida gubernatorial election, 2010" campaign under the name "Rick Scott for governor, 2010".

The graph indicates that Rick Scott held the office position titled "governor of florida" following his election campaign "rick scott for governor, 2010". No more recent governor information is provided in the graph.


Question: who was jessica simpson married too

You are a graph analyst and you have been given a graph G among "joe simpson", "jessica simpson", "nick lachey", "m.0j3283c", "tina ann drew", "eric johnson", "m.0113nnph", "m.010gz8v_", "m.01vshfk", "marriage", "jessica simpson & rosie o'donnell", "m.01w05sw", "nick lachey and jessica simpson", "m.07sl20z", "domestic partnership". G has the following directed edges: "m.01w05sw"-(music.group_membership.member)->"jessica simpson", "m.01vshfk"-(music.group_membership.member)->"jessica simpson", "m.01vshfk"-(music.group_membership.group)->"jessica simpson & rosie o'donnell", "nick lachey and jessica simpson"-(music.musical_group.member)->"m.01w05sw", "m.0j3283c"-(people.marriage.spouse)->"joe simpson", "m.0j3283c"-(people.marriage.spouse)->"tina ann drew", "m.0j3283c"-(people.marriage.type_of_union)->"marriage", "m.010gz8v_"-(people.marriage.spouse)->"jessica simpson", "m.010gz8v_"-(people.marriage.spouse)->"eric johnson", "m.010gz8v_"-(people.marriage.type_of_union)->"domestic partnership", "m.0113nnph"-(people.marriage.type_of_union)->"marriage", "m.0113nnph"-(people.marriage.spouse)->"jessica simpson", "m.0113nnph"-(people.marriage.spouse)->"eric johnson", "m.07sl20z"-(people.marriage.spouse)->"jessica simpson", "m.07sl20z"-(people.marriage.spouse)->"nick lachey", "m.07sl20z"-(people.marriage.type_of_union)->"marriage".

node_id,node_attr
4,joe simpson
11,jessica simpson
61,nick lachey
100,m.0j3283c
268,tina ann drew
281,eric johnson
327,m.0113nnph
363,m.010gz8v_
480,m.01vshfk
682,marriage
876,jessica simpson & rosie o'donnell
1008,m.01w05sw
1018,nick lachey and jessica simpson
1044,m.07sl20z
1144,domestic partnership

src,edge_attr,dst
1008,music.group_membership.member,11
480,music.group_membership.member,11
1018,music.musical_group.member,1008
480,music.group_membership.group,876
100,people.marriage.spouse,4
363,people.marriage.spouse,11
100,people.marriage.type_of_union,682
363,people.marriage.spouse,281
327,people.marriage.type_of_union,682
327,people.marriage.spouse,11
327,people.marriage.spouse,281
363,people.marriage.type_of_union,1144
1044,people.marriage.spouse,11
1044,people.marriage.spouse,61
1044,people.marriage.type_of_union,682
100,people.marriage.spouse,268

G describes a graph among nodes "joe simpson", "jessica simpson", "nick lachey", "m.0j3283c", "tina ann drew", "eric johnson", "m.0113nnph", "m.010gz8v_", "m.01vshfk", "marriage", "jessica simpson & rosie o'donnell", "m.01w05sw", "nick lachey and jessica simpson", "m.07sl20z", "domestic partnership".In this graph: Node "m.01w05sw" has outgoing edges to: "jessica simpson" with relation "music.group_membership.member". Node "m.01vshfk" has outgoing edges to: "jessica simpson" with relation "music.group_membership.member". Node "m.01vshfk" has outgoing edges to: "jessica simpson & rosie o'donnell" with relation "music.group_membership.group". Node "nick lachey and jessica simpson" has outgoing edges to: "m.01w05sw" with relation "music.musical_group.member". Node "m.0j3283c" has outgoing edges to: "joe simpson", "tina ann drew" with relation "people.marriage.spouse". Node "m.0j3283c" has outgoing edges to: "marriage" with relation "people.marriage.type_of_union". Node "m.010gz8v_" has outgoing edges to: "jessica simpson", "eric johnson" with relation "people.marriage.spouse". Node "m.010gz8v_" has outgoing edges to: "domestic partnership" with relation "people.marriage.type_of_union". Node "m.0113nnph" has outgoing edges to: "marriage" with relation "people.marriage.type_of_union". Node "m.0113nnph" has outgoing edges to: "jessica simpson", "eric johnson" with relation "people.marriage.spouse". Node "m.07sl20z" has outgoing edges to: "jessica simpson", "nick lachey" with relation "people.marriage.spouse". Node "m.07sl20z" has outgoing edges to: "marriage" with relation "people.marriage.type_of_union".

("m.01w05sw", "music.group_membership.member", "jessica simpson"), ("m.01vshfk", "music.group_membership.member", "jessica simpson"), ("m.01vshfk", "music.group_membership.group", "jessica simpson & rosie o'donnell"), ("nick lachey and jessica simpson", "music.musical_group.member", "m.01w05sw"), ("m.0j3283c", "people.marriage.spouse", "joe simpson"), ("m.0j3283c", "people.marriage.spouse", "tina ann drew"), ("m.0j3283c", "people.marriage.type_of_union", "marriage"), ("m.010gz8v_", "people.marriage.spouse", "jessica simpson"), ("m.010gz8v_", "people.marriage.spouse", "eric johnson"), ("m.010gz8v_", "people.marriage.type_of_union", "domestic partnership"), ("m.0113nnph", "people.marriage.type_of_union", "marriage"), ("m.0113nnph", "people.marriage.spouse", "jessica simpson"), ("m.0113nnph", "people.marriage.spouse", "eric johnson"), ("m.07sl20z", "people.marriage.spouse", "jessica simpson"), ("m.07sl20z", "people.marriage.spouse", "nick lachey"), ("m.07sl20z", "people.marriage.type_of_union", "marriage")

Jessica Simpson is a member of the musical groups m.01w05sw and m.01vshfk, the latter of which includes the group "Jessica Simpson & Rosie O'Donnell." She was part of the musical duo "Nick Lachey and Jessica Simpson" with m.01w05sw. Jessica Simpson was married to Joe Simpson and Tina Ann Drew, with their union classified as marriage. She also had a domestic partnership with Eric Johnson, identified by m.010gz8v_, which was also noted as a marriage by m.0113nnph, alongside another marriage to Eric Johnson. Additionally, Jessica Simpson was married to Nick Lachey, with their union recorded under m.07sl20z as a marriage.

Jessica Simpson was married to Nick Lachey and Eric Johnson. Her marriages to both were classified as marriages. Additionally, she had a domestic partnership with Eric Johnson.

Jessica Simpson was married to Nick Lachey in a marriage union and also had a domestic partnership with Eric Johnson. Additionally, she was married to Eric Johnson as indicated by another record under a different identifier, suggesting multiple records confirming her marriages to him in different capacities. There are also mentions of other relationships (Joe Simpson and Tina Ann Drew) but only Nick Lachey and Eric Johnson are listed as her spouses under marriage or domestic partnership types directly relevant to the question.

Jessica Simpson was married to Nick Lachey in a marriage union and also had a marriage with Eric Johnson.

Jessica Simpson was married to Nick Lachey in a marriage union, which lasted from a specific period not detailed in the graph, and also had a domestic partnership with Eric Johnson. Additionally, there are records indicating marriages to Joe Simpson and Tina Ann Drew, though the specifics regarding those marriages are not elaborated upon in the provided graph data. Notably, her marriage to Nick Lachey is explicitly stated as a marriage union.

Jessica Simpson was married to Nick Lachey in a marriage union and later entered into a domestic partnership with Eric Johnson.


Question: what do they speak in scotland

You are a graph analyst and you have been given a graph G among "english language", "jig", "british english", "starting over", "anglo-frisian languages", "scots language", "scottish gaelic", "scottish english", "the eagle". G has the following directed edges: "anglo-frisian languages"-(language.language_family.languages)->"english language", "anglo-frisian languages"-(language.language_family.languages)->"scots language", "the eagle"-(film.film.language)->"english language", "the eagle"-(film.film.language)->"scottish gaelic", "starting over"-(film.film.language)->"english language", "scottish english"-(language.language_dialect.language)->"english language", "british english"-(language.language_dialect.language)->"english language", "jig"-(film.film.language)->"english language".

node_id,node_attr
45,english language
171,jig
220,british english
252,starting over
334,anglo-frisian languages
335,scots language
521,scottish gaelic
645,scottish english
883,the eagle

src,edge_attr,dst
334,language.language_family.languages,45
334,language.language_family.languages,335
883,film.film.language,45
883,film.film.language,521
252,film.film.language,45
645,language.language_dialect.language,45
220,language.language_dialect.language,45
171,film.film.language,45

G describes a graph among nodes "english language", "jig", "british english", "starting over", "anglo-frisian languages", "scots language", "scottish gaelic", "scottish english", "the eagle".In this graph: Node "anglo-frisian languages" has outgoing edges to: "english language", "scots language" with relation "language.language_family.languages". Node "the eagle" has outgoing edges to: "english language", "scottish gaelic" with relation "film.film.language". Node "starting over" has outgoing edges to: "english language" with relation "film.film.language". Node "scottish english" has outgoing edges to: "english language" with relation "language.language_dialect.language". Node "british english" has outgoing edges to: "english language" with relation "language.language_dialect.language". Node "jig" has outgoing edges to: "english language" with relation "film.film.language".

("anglo-frisian languages", "language.language_family.languages", "english language"), ("anglo-frisian languages", "language.language_family.languages", "scots language"), ("the eagle", "film.film.language", "english language"), ("the eagle", "film.film.language", "scottish gaelic"), ("starting over", "film.film.language", "english language"), ("scottish english", "language.language_dialect.language", "english language"), ("british english", "language.language_dialect.language", "english language"), ("jig", "film.film.language", "english language")

The Anglo-Frisian languages encompass English and Scots, with Scots English and British English as dialects of English. Films like "The Eagle" and "Jig" are primarily in English, while "The Eagle" also incorporates Scottish Gaelic. "Starting Over" is in English.

In Scotland, English, including dialects such as Scottish English, and Scots language are spoken, alongside Scottish Gaelic as evidenced by films produced there.

In Scotland, English, including dialects like Scottish English, and Scots are spoken. Additionally, Scottish Gaelic is also spoken, as evidenced by its use in films alongside English.

In Scotland, English, including dialects like Scottish English, and Scots language are spoken. Additionally, Scottish Gaelic is also used, particularly notable in films like "The Eagle."

In Scotland, English, including dialects such as Scottish English, and Scots language are spoken. Additionally, Scottish Gaelic is also used, particularly noted in contexts like the film "The Eagle."

In Scotland, English, including dialects like Scottish English, and Scots are spoken. Additionally, Scottish Gaelic is also used.


Question: what did john dalton study

You are a graph analyst and you have been given a graph G among "male", "chemist", "john gough", "john dalton", "physicist", "scientist", "john dalton studied isaac newton", "astrophysicist", "william hyde wollaston championed work of john dalton", "john dalton taught by john gough", "theoretical physicist", "sfx award for best actor". G has the following directed edges: "john dalton"-(people.person.gender)->"male", "john dalton"-(people.person.profession)->"chemist", "john dalton"-(base.kwebbase.kwtopic.connections_from)->"john dalton studied isaac newton", "william hyde wollaston championed work of john dalton"-(base.kwebbase.kwconnection.other)->"john dalton", "john gough"-(people.person.gender)->"male", "john dalton taught by john gough"-(base.kwebbase.kwconnection.other)->"john gough", "chemist"-(people.profession.specialization_of)->"scientist", "sfx award for best actor"-(award.award_category.disciplines_or_subjects)->"male", "physicist"-(people.profession.specialization_of)->"scientist", "astrophysicist"-(people.profession.specialization_of)->"physicist", "theoretical physicist"-(people.profession.specialization_of)->"physicist".

node_id,node_attr
1,male
2,chemist
6,john gough
12,john dalton
21,physicist
49,scientist
133,john dalton studied isaac newton
147,astrophysicist
190,william hyde wollaston championed work of john dalton
229,john dalton taught by john gough
237,theoretical physicist
354,sfx award for best actor

src,edge_attr,dst
12,people.person.gender,1
190,base.kwebbase.kwconnection.other,12
6,people.person.gender,1
12,people.person.profession,2
229,base.kwebbase.kwconnection.other,6
12,base.kwebbase.kwtopic.connections_from,133
2,people.profession.specialization_of,49
354,award.award_category.disciplines_or_subjects,1
21,people.profession.specialization_of,49
147,people.profession.specialization_of,21
237,people.profession.specialization_of,21

G describes a graph among nodes "male", "chemist", "john gough", "john dalton", "physicist", "scientist", "john dalton studied isaac newton", "astrophysicist", "william hyde wollaston championed work of john dalton", "john dalton taught by john gough", "theoretical physicist", "sfx award for best actor".In this graph: Node "john dalton" has outgoing edges to: "male" with relation "people.person.gender". Node "john dalton" has outgoing edges to: "chemist" with relation "people.person.profession". Node "john dalton" has outgoing edges to: "john dalton studied isaac newton" with relation "base.kwebbase.kwtopic.connections_from". Node "william hyde wollaston championed work of john dalton" has outgoing edges to: "john dalton" with relation "base.kwebbase.kwconnection.other". Node "john gough" has outgoing edges to: "male" with relation "people.person.gender". Node "john dalton taught by john gough" has outgoing edges to: "john gough" with relation "base.kwebbase.kwconnection.other". Node "chemist" has outgoing edges to: "scientist" with relation "people.profession.specialization_of". Node "sfx award for best actor" has outgoing edges to: "male" with relation "award.award_category.disciplines_or_subjects". Node "physicist" has outgoing edges to: "scientist" with relation "people.profession.specialization_of". Node "astrophysicist" has outgoing edges to: "physicist" with relation "people.profession.specialization_of". Node "theoretical physicist" has outgoing edges to: "physicist" with relation "people.profession.specialization_of".

("john dalton", "people.person.gender", "male"), ("john dalton", "people.person.profession", "chemist"), ("john dalton", "base.kwebbase.kwtopic.connections_from", "john dalton studied isaac newton"), ("william hyde wollaston championed work of john dalton", "base.kwebbase.kwconnection.other", "john dalton"), ("john gough", "people.person.gender", "male"), ("john dalton taught by john gough", "base.kwebbase.kwconnection.other", "john gough"), ("chemist", "people.profession.specialization_of", "scientist"), ("sfx award for best actor", "award.award_category.disciplines_or_subjects", "male"), ("physicist", "people.profession.specialization_of", "scientist"), ("astrophysicist", "people.profession.specialization_of", "physicist"), ("theoretical physicist", "people.profession.specialization_of", "physicist")

John Dalton, a male chemist, studied Isaac Newton and was taught by John Gough, also male. William Hyde Wollaston championed Dalton's work. Chemists and physicists, including specializations like astrophysicists and theoretical physicists, are all subsets of the broader category of scientists. The SFX Award for Best Actor pertains to male recipients.

John Dalton was a male chemist who specialized as a scientist. He studied Isaac Newton and was taught by John Gough. Notable figures like William Hyde Wollaston supported Dalton's work.

John Dalton was a male chemist who studied subjects related to Isaac Newton. He was taught by John Gough and his work was championed by William Hyde Wollaston, indicating his contributions were significant within the scientific community, particularly in chemistry.

John Dalton was a male chemist, specializing as a scientist, known for his studies related to Isaac Newton. He was taught by John Gough and had his work championed by William Hyde Wollaston.

John Dalton was a male chemist who specialized as a scientist, known for his studies related to Isaac Newton and having been taught by John Gough. His work was also championed by William Hyde Wollaston.

John Dalton was a male chemist who specialized as a scientist, focusing his studies notably on aspects related to Isaac Newton. He was taught by John Gough, indicating his academic background was influenced by his mentor in the field of chemistry and related sciences.