TSTP Solution File: CSR117+1 by CSE_E---1.5
View Problem
- Process Solution
%------------------------------------------------------------------------------
% File : CSE_E---1.5
% Problem : CSR117+1 : TPTP v8.1.2. Released v4.1.0.
% Transfm : none
% Format : tptp:raw
% Command : java -jar /export/starexec/sandbox/solver/bin/mcs_scs.jar %d %s
% Computer : n017.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Wed Aug 30 21:03:17 EDT 2023
% Result : Theorem 0.19s 0.63s
% Output : CNFRefutation 0.19s
% Verified :
% SZS Type : Refutation
% Derivation depth : 10
% Number of leaves : 191
% Syntax : Number of formulae : 247 ( 40 unt; 162 typ; 0 def)
% Number of atoms : 233 ( 9 equ)
% Maximal formula atoms : 18 ( 2 avg)
% Number of connectives : 257 ( 109 ~; 100 |; 37 &)
% ( 0 <=>; 11 =>; 0 <=; 0 <~>)
% Maximal formula depth : 30 ( 4 avg)
% Maximal term depth : 2 ( 1 avg)
% Number of types : 2 ( 0 usr)
% Number of type conns : 36 ( 25 >; 11 *; 0 +; 0 <<)
% Number of predicates : 25 ( 23 usr; 1 prp; 0-5 aty)
% Number of functors : 139 ( 139 usr; 137 con; 0-1 aty)
% Number of variables : 99 ( 5 sgn; 31 !; 24 ?; 0 :)
% Comments :
%------------------------------------------------------------------------------
tff(decl_22,type,
s__SetOrClass: $i > $o ).
tff(decl_23,type,
s__Entity: $i > $o ).
tff(decl_24,type,
s__Object: $i > $o ).
tff(decl_25,type,
s__Region: $i > $o ).
tff(decl_26,type,
s__GeopoliticalArea: $i > $o ).
tff(decl_27,type,
s__Nation: $i > $o ).
tff(decl_28,type,
s__City: $i > $o ).
tff(decl_29,type,
s__WaterArea: $i > $o ).
tff(decl_30,type,
s__BodyOfWater: $i > $o ).
tff(decl_31,type,
s__Sea: $i > $o ).
tff(decl_32,type,
s__PositionalAttribute: $i > $o ).
tff(decl_33,type,
s__SymmetricPositionalAttribute: $i > $o ).
tff(decl_34,type,
s__CaseRole: $i > $o ).
tff(decl_35,type,
s__SymbolicString: $i > $o ).
tff(decl_36,type,
s__GeographicArea: $i > $o ).
tff(decl_37,type,
s__Near: $i ).
tff(decl_38,type,
s__Flooding__t: $i ).
tff(decl_39,type,
s__located__m: $i ).
tff(decl_40,type,
s__CoastalCitiesClass: $i ).
tff(decl_41,type,
is_instance: ( $i * $i ) > $o ).
tff(decl_42,type,
s__orientation: ( $i * $i * $i ) > $o ).
tff(decl_43,type,
s__capability: ( $i * $i * $i ) > $o ).
tff(decl_44,type,
real: $i > $o ).
tff(decl_45,type,
int: $i > $o ).
tff(decl_46,type,
s__OECDMemberEconomiesClass: $i ).
tff(decl_47,type,
capital_city: ( $i * $i ) > $o ).
tff(decl_48,type,
s__Moscow: $i ).
tff(decl_49,type,
look_different: ( $i * $i ) > $o ).
tff(decl_50,type,
latlong: ( $i * $i * $i * $i * $i ) > $o ).
tff(decl_51,type,
to_int: $i > $i ).
tff(decl_52,type,
s__Copenhagen: $i ).
tff(decl_53,type,
s__CzechRepublic: $i ).
tff(decl_54,type,
s__Denmark: $i ).
tff(decl_55,type,
s__Finland: $i ).
tff(decl_56,type,
s__Germany: $i ).
tff(decl_57,type,
s__Greece: $i ).
tff(decl_58,type,
s__Hungary: $i ).
tff(decl_59,type,
s__Italy: $i ).
tff(decl_60,type,
s__Luxembourg: $i ).
tff(decl_61,type,
s__Mexico: $i ).
tff(decl_62,type,
s__NewZealand: $i ).
tff(decl_63,type,
s__Poland: $i ).
tff(decl_64,type,
s__Sweden: $i ).
tff(decl_65,type,
s__SouthKorea: $i ).
tff(decl_66,type,
s__Slovakia: $i ).
tff(decl_67,type,
s__Spain: $i ).
tff(decl_68,type,
s__Switzerland: $i ).
tff(decl_69,type,
s__UnitedKingdom: $i ).
tff(decl_70,type,
s__UnitedStates: $i ).
tff(decl_71,type,
s__Portugal: $i ).
tff(decl_72,type,
s__Norway: $i ).
tff(decl_73,type,
s__Netherlands: $i ).
tff(decl_74,type,
s__Iceland: $i ).
tff(decl_75,type,
s__Belgium: $i ).
tff(decl_76,type,
s__France: $i ).
tff(decl_77,type,
s__Australia: $i ).
tff(decl_78,type,
s__Austria: $i ).
tff(decl_79,type,
s__Athens: $i ).
tff(decl_80,type,
s__Berlin: $i ).
tff(decl_81,type,
s__Bratislava: $i ).
tff(decl_82,type,
s__Brussels: $i ).
tff(decl_83,type,
s__Budapest: $i ).
tff(decl_84,type,
s__Canberra: $i ).
tff(decl_85,type,
s__Helsinki: $i ).
tff(decl_86,type,
s__Lisbon: $i ).
tff(decl_87,type,
s__Luxembourg_City: $i ).
tff(decl_88,type,
s__Paris: $i ).
tff(decl_89,type,
s__Prague: $i ).
tff(decl_90,type,
s__Seoul: $i ).
tff(decl_91,type,
s__Vienna: $i ).
tff(decl_92,type,
s__Warsaw: $i ).
tff(decl_93,type,
'37.97615': $i ).
tff(decl_94,type,
'23.736415': $i ).
tff(decl_95,type,
athens: $i ).
tff(decl_96,type,
gr: $i ).
tff(decl_97,type,
'52.516074': $i ).
tff(decl_98,type,
'13.376987': $i ).
tff(decl_99,type,
berlin: $i ).
tff(decl_100,type,
de: $i ).
tff(decl_101,type,
'48.149245': $i ).
tff(decl_102,type,
'17.107005': $i ).
tff(decl_103,type,
bratislava: $i ).
tff(decl_104,type,
sk: $i ).
tff(decl_105,type,
'50.848385': $i ).
tff(decl_106,type,
'4.349685': $i ).
tff(decl_107,type,
brussels: $i ).
tff(decl_108,type,
be: $i ).
tff(decl_109,type,
'47.506225': $i ).
tff(decl_110,type,
'19.06482': $i ).
tff(decl_111,type,
budapest: $i ).
tff(decl_112,type,
hu: $i ).
tff(decl_113,type,
'-35.306541': $i ).
tff(decl_114,type,
'149.126556': $i ).
tff(decl_115,type,
canberra: $i ).
tff(decl_116,type,
au: $i ).
tff(decl_117,type,
'55.67631': $i ).
tff(decl_118,type,
'12.569355': $i ).
tff(decl_119,type,
copenhagen: $i ).
tff(decl_120,type,
dk: $i ).
tff(decl_121,type,
'60.17116': $i ).
tff(decl_122,type,
'24.93258': $i ).
tff(decl_123,type,
helsinki: $i ).
tff(decl_124,type,
fi: $i ).
tff(decl_125,type,
'38.725679': $i ).
tff(decl_126,type,
'-9.150371': $i ).
tff(decl_127,type,
lisbon: $i ).
tff(decl_128,type,
pt: $i ).
tff(decl_129,type,
'49.609531': $i ).
tff(decl_130,type,
'6.12997': $i ).
tff(decl_131,type,
luxembourg_city: $i ).
tff(decl_132,type,
lu: $i ).
tff(decl_133,type,
'55.75695': $i ).
tff(decl_134,type,
'37.614975': $i ).
tff(decl_135,type,
moscow: $i ).
tff(decl_136,type,
ru: $i ).
tff(decl_137,type,
'48.856925': $i ).
tff(decl_138,type,
'2.34121': $i ).
tff(decl_139,type,
paris: $i ).
tff(decl_140,type,
fr: $i ).
tff(decl_141,type,
'50.079083': $i ).
tff(decl_142,type,
'14.43323': $i ).
tff(decl_143,type,
prague: $i ).
tff(decl_144,type,
cz: $i ).
tff(decl_145,type,
'37.557121': $i ).
tff(decl_146,type,
'126.977379': $i ).
tff(decl_147,type,
seoul: $i ).
tff(decl_148,type,
kr: $i ).
tff(decl_149,type,
'48.202548': $i ).
tff(decl_150,type,
'16.368805': $i ).
tff(decl_151,type,
vienna: $i ).
tff(decl_152,type,
at: $i ).
tff(decl_153,type,
'52.23537': $i ).
tff(decl_154,type,
'21.009485': $i ).
tff(decl_155,type,
warsaw: $i ).
tff(decl_156,type,
pl: $i ).
tff(decl_157,type,
'-35': $i ).
tff(decl_158,type,
'37': $i ).
tff(decl_159,type,
'38': $i ).
tff(decl_160,type,
'47': $i ).
tff(decl_161,type,
'48': $i ).
tff(decl_162,type,
'49': $i ).
tff(decl_163,type,
'50': $i ).
tff(decl_164,type,
'52': $i ).
tff(decl_165,type,
'55': $i ).
tff(decl_166,type,
'60': $i ).
tff(decl_167,type,
esk1_0: $i ).
tff(decl_168,type,
esk2_0: $i ).
tff(decl_169,type,
esk3_0: $i ).
tff(decl_170,type,
esk4_0: $i ).
tff(decl_171,type,
esk5_0: $i ).
tff(decl_172,type,
esk6_0: $i ).
tff(decl_173,type,
esk7_0: $i ).
tff(decl_174,type,
esk8_0: $i ).
tff(decl_175,type,
esk9_0: $i ).
tff(decl_176,type,
esk10_0: $i ).
tff(decl_177,type,
esk11_0: $i ).
tff(decl_178,type,
esk12_0: $i ).
tff(decl_179,type,
esk13_0: $i ).
tff(decl_180,type,
esk14_0: $i ).
tff(decl_181,type,
esk15_1: $i > $i ).
tff(decl_182,type,
esk16_0: $i ).
tff(decl_183,type,
esk17_0: $i ).
fof(where,conjecture,
? [X2,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15] :
( s__Object(X2)
& s__Object(X6)
& real(X7)
& real(X8)
& s__SymbolicString(X9)
& s__SymbolicString(X10)
& int(X11)
& real(X12)
& real(X13)
& s__SymbolicString(X14)
& s__SymbolicString(X15)
& is_instance(X6,s__OECDMemberEconomiesClass)
& capital_city(X2,X6)
& look_different(X2,s__Moscow)
& latlong(X2,X7,X8,X9,X10)
& latlong(s__Moscow,X12,X13,X14,X15)
& to_int(X7) = to_int(X12)
& s__capability(s__Flooding__t,s__located__m,X2) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',where) ).
fof(kb_SUMO_MILO_Domains_9679,axiom,
! [X1] :
( s__Sea(X1)
=> s__BodyOfWater(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_Domains_9679) ).
fof(coastal_cities_near_water,axiom,
! [X2] :
( s__City(X2)
=> ( is_instance(X2,s__CoastalCitiesClass)
=> ? [X3] :
( s__Sea(X3)
& s__orientation(X2,X3,s__Near) ) ) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',coastal_cities_near_water) ).
fof(kb_SUMO_MILO_Domains_9582,axiom,
! [X1] :
( s__BodyOfWater(X1)
=> s__WaterArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_Domains_9582) ).
fof(kb_SUMO_MILO_6365,axiom,
! [X1] :
( s__GeographicArea(X1)
=> s__Region(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6365) ).
fof(kb_SUMO_MILO_6345,axiom,
! [X1] :
( s__GeopoliticalArea(X1)
=> s__GeographicArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6345) ).
fof(latlong_s__Moscow,axiom,
latlong(s__Moscow,'55.75695','37.614975',moscow,ru),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',latlong_s__Moscow) ).
fof('55.75695_55',axiom,
to_int('55.75695') = '55',
file('/export/starexec/sandbox/benchmark/theBenchmark.p','55.75695_55') ).
fof(moscow_long_type,axiom,
real('37.614975'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_long_type) ).
fof(moscow_lat_type,axiom,
real('55.75695'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_lat_type) ).
fof(ru_type,axiom,
s__SymbolicString(ru),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',ru_type) ).
fof(moscow_type,axiom,
s__SymbolicString(moscow),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_type) ).
fof(flood_near_water,axiom,
! [X4,X5] :
( ( s__WaterArea(X4)
& s__City(X5) )
=> ( s__orientation(X5,X4,s__Near)
=> s__capability(s__Flooding__t,s__located__m,X5) ) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',flood_near_water) ).
fof(kb_SUMO_MILO_701,axiom,
! [X1] :
( s__Region(X1)
=> s__Object(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_701) ).
fof(latlong_s__Copenhagen,axiom,
latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',latlong_s__Copenhagen) ).
fof('55.67631_55',axiom,
to_int('55.67631') = '55',
file('/export/starexec/sandbox/benchmark/theBenchmark.p','55.67631_55') ).
fof(s__Copenhagen_not_s__Moscow,axiom,
look_different(s__Copenhagen,s__Moscow),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_not_s__Moscow) ).
fof(copenhagen_long_type,axiom,
real('12.569355'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_long_type) ).
fof(copenhagen_lat_type,axiom,
real('55.67631'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_lat_type) ).
fof(dk_type,axiom,
s__SymbolicString(dk),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',dk_type) ).
fof(copenhagen_type,axiom,
s__SymbolicString(copenhagen),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_type) ).
fof(kb_SUMO_MILO_6437,axiom,
! [X1] :
( s__City(X1)
=> s__GeopoliticalArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6437) ).
fof(copenhagen_coastal,axiom,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_coastal) ).
fof(s__Copenhagen_type,axiom,
s__City(s__Copenhagen),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_type) ).
fof(int_type,axiom,
? [X1] : int(X1),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',int_type) ).
fof(kb_SUMO_MILO_6428,axiom,
! [X1] :
( s__Nation(X1)
=> s__GeopoliticalArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6428) ).
fof(s__Copenhagen_s__Denmark,axiom,
capital_city(s__Copenhagen,s__Denmark),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_s__Denmark) ).
fof(s__Denmark_OECD,axiom,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Denmark_OECD) ).
fof(s__Denmark_type,axiom,
s__Nation(s__Denmark),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Denmark_type) ).
fof(c_0_29,negated_conjecture,
~ ? [X2,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15] :
( s__Object(X2)
& s__Object(X6)
& real(X7)
& real(X8)
& s__SymbolicString(X9)
& s__SymbolicString(X10)
& int(X11)
& real(X12)
& real(X13)
& s__SymbolicString(X14)
& s__SymbolicString(X15)
& is_instance(X6,s__OECDMemberEconomiesClass)
& capital_city(X2,X6)
& look_different(X2,s__Moscow)
& latlong(X2,X7,X8,X9,X10)
& latlong(s__Moscow,X12,X13,X14,X15)
& to_int(X7) = to_int(X12)
& s__capability(s__Flooding__t,s__located__m,X2) ),
inference(assume_negation,[status(cth)],[where]) ).
fof(c_0_30,plain,
! [X37] :
( ~ s__Sea(X37)
| s__BodyOfWater(X37) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_Domains_9679])]) ).
fof(c_0_31,plain,
! [X39] :
( ( s__Sea(esk15_1(X39))
| ~ is_instance(X39,s__CoastalCitiesClass)
| ~ s__City(X39) )
& ( s__orientation(X39,esk15_1(X39),s__Near)
| ~ is_instance(X39,s__CoastalCitiesClass)
| ~ s__City(X39) ) ),
inference(distribute,[status(thm)],[inference(skolemize,[status(esa)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[coastal_cities_near_water])])])]) ).
fof(c_0_32,negated_conjecture,
! [X43,X44,X45,X46,X47,X48,X49,X50,X51,X52,X53] :
( ~ s__Object(X43)
| ~ s__Object(X44)
| ~ real(X45)
| ~ real(X46)
| ~ s__SymbolicString(X47)
| ~ s__SymbolicString(X48)
| ~ int(X49)
| ~ real(X50)
| ~ real(X51)
| ~ s__SymbolicString(X52)
| ~ s__SymbolicString(X53)
| ~ is_instance(X44,s__OECDMemberEconomiesClass)
| ~ capital_city(X43,X44)
| ~ look_different(X43,s__Moscow)
| ~ latlong(X43,X45,X46,X47,X48)
| ~ latlong(s__Moscow,X50,X51,X52,X53)
| to_int(X45) != to_int(X50)
| ~ s__capability(s__Flooding__t,s__located__m,X43) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[c_0_29])]) ).
fof(c_0_33,plain,
! [X36] :
( ~ s__BodyOfWater(X36)
| s__WaterArea(X36) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_Domains_9582])]) ).
cnf(c_0_34,plain,
( s__BodyOfWater(X1)
| ~ s__Sea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_30]) ).
cnf(c_0_35,plain,
( s__Sea(esk15_1(X1))
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(split_conjunct,[status(thm)],[c_0_31]) ).
fof(c_0_36,plain,
! [X31] :
( ~ s__GeographicArea(X31)
| s__Region(X31) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6365])]) ).
fof(c_0_37,plain,
! [X32] :
( ~ s__GeopoliticalArea(X32)
| s__GeographicArea(X32) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6345])]) ).
cnf(c_0_38,negated_conjecture,
( ~ s__Object(X1)
| ~ s__Object(X2)
| ~ real(X3)
| ~ real(X4)
| ~ s__SymbolicString(X5)
| ~ s__SymbolicString(X6)
| ~ int(X7)
| ~ real(X8)
| ~ real(X9)
| ~ s__SymbolicString(X10)
| ~ s__SymbolicString(X11)
| ~ is_instance(X2,s__OECDMemberEconomiesClass)
| ~ capital_city(X1,X2)
| ~ look_different(X1,s__Moscow)
| ~ latlong(X1,X3,X4,X5,X6)
| ~ latlong(s__Moscow,X8,X9,X10,X11)
| to_int(X3) != to_int(X8)
| ~ s__capability(s__Flooding__t,s__located__m,X1) ),
inference(split_conjunct,[status(thm)],[c_0_32]) ).
cnf(c_0_39,plain,
latlong(s__Moscow,'55.75695','37.614975',moscow,ru),
inference(split_conjunct,[status(thm)],[latlong_s__Moscow]) ).
cnf(c_0_40,plain,
to_int('55.75695') = '55',
inference(split_conjunct,[status(thm)],['55.75695_55']) ).
cnf(c_0_41,plain,
real('37.614975'),
inference(split_conjunct,[status(thm)],[moscow_long_type]) ).
cnf(c_0_42,plain,
real('55.75695'),
inference(split_conjunct,[status(thm)],[moscow_lat_type]) ).
cnf(c_0_43,plain,
s__SymbolicString(ru),
inference(split_conjunct,[status(thm)],[ru_type]) ).
cnf(c_0_44,plain,
s__SymbolicString(moscow),
inference(split_conjunct,[status(thm)],[moscow_type]) ).
fof(c_0_45,plain,
! [X41,X42] :
( ~ s__WaterArea(X41)
| ~ s__City(X42)
| ~ s__orientation(X42,X41,s__Near)
| s__capability(s__Flooding__t,s__located__m,X42) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[flood_near_water])]) ).
cnf(c_0_46,plain,
( s__WaterArea(X1)
| ~ s__BodyOfWater(X1) ),
inference(split_conjunct,[status(thm)],[c_0_33]) ).
cnf(c_0_47,plain,
( s__BodyOfWater(esk15_1(X1))
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_34,c_0_35]) ).
fof(c_0_48,plain,
! [X30] :
( ~ s__Region(X30)
| s__Object(X30) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_701])]) ).
cnf(c_0_49,plain,
( s__Region(X1)
| ~ s__GeographicArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_36]) ).
cnf(c_0_50,plain,
( s__GeographicArea(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_37]) ).
cnf(c_0_51,negated_conjecture,
( to_int(X1) != '55'
| ~ latlong(X2,X1,X3,X4,X5)
| ~ look_different(X2,s__Moscow)
| ~ capital_city(X2,X6)
| ~ int(X7)
| ~ real(X3)
| ~ real(X1)
| ~ s__capability(s__Flooding__t,s__located__m,X2)
| ~ is_instance(X6,s__OECDMemberEconomiesClass)
| ~ s__SymbolicString(X5)
| ~ s__SymbolicString(X4)
| ~ s__Object(X6)
| ~ s__Object(X2) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_38,c_0_39]),c_0_40]),c_0_41]),c_0_42]),c_0_43]),c_0_44])]) ).
cnf(c_0_52,plain,
latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),
inference(split_conjunct,[status(thm)],[latlong_s__Copenhagen]) ).
cnf(c_0_53,plain,
to_int('55.67631') = '55',
inference(split_conjunct,[status(thm)],['55.67631_55']) ).
cnf(c_0_54,plain,
look_different(s__Copenhagen,s__Moscow),
inference(split_conjunct,[status(thm)],[s__Copenhagen_not_s__Moscow]) ).
cnf(c_0_55,plain,
real('12.569355'),
inference(split_conjunct,[status(thm)],[copenhagen_long_type]) ).
cnf(c_0_56,plain,
real('55.67631'),
inference(split_conjunct,[status(thm)],[copenhagen_lat_type]) ).
cnf(c_0_57,plain,
s__SymbolicString(dk),
inference(split_conjunct,[status(thm)],[dk_type]) ).
cnf(c_0_58,plain,
s__SymbolicString(copenhagen),
inference(split_conjunct,[status(thm)],[copenhagen_type]) ).
cnf(c_0_59,plain,
( s__capability(s__Flooding__t,s__located__m,X2)
| ~ s__WaterArea(X1)
| ~ s__City(X2)
| ~ s__orientation(X2,X1,s__Near) ),
inference(split_conjunct,[status(thm)],[c_0_45]) ).
cnf(c_0_60,plain,
( s__orientation(X1,esk15_1(X1),s__Near)
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(split_conjunct,[status(thm)],[c_0_31]) ).
cnf(c_0_61,plain,
( s__WaterArea(esk15_1(X1))
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_46,c_0_47]) ).
cnf(c_0_62,plain,
( s__Object(X1)
| ~ s__Region(X1) ),
inference(split_conjunct,[status(thm)],[c_0_48]) ).
cnf(c_0_63,plain,
( s__Region(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(spm,[status(thm)],[c_0_49,c_0_50]) ).
fof(c_0_64,plain,
! [X34] :
( ~ s__City(X34)
| s__GeopoliticalArea(X34) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6437])]) ).
cnf(c_0_65,negated_conjecture,
( ~ capital_city(s__Copenhagen,X1)
| ~ int(X2)
| ~ s__capability(s__Flooding__t,s__located__m,s__Copenhagen)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__Object(s__Copenhagen)
| ~ s__Object(X1) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_51,c_0_52]),c_0_53]),c_0_54]),c_0_55]),c_0_56]),c_0_57]),c_0_58])]) ).
cnf(c_0_66,plain,
( s__capability(s__Flooding__t,s__located__m,X1)
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(csr,[status(thm)],[inference(spm,[status(thm)],[c_0_59,c_0_60]),c_0_61]) ).
cnf(c_0_67,plain,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
inference(split_conjunct,[status(thm)],[copenhagen_coastal]) ).
cnf(c_0_68,plain,
s__City(s__Copenhagen),
inference(split_conjunct,[status(thm)],[s__Copenhagen_type]) ).
cnf(c_0_69,plain,
( s__Object(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(spm,[status(thm)],[c_0_62,c_0_63]) ).
cnf(c_0_70,plain,
( s__GeopoliticalArea(X1)
| ~ s__City(X1) ),
inference(split_conjunct,[status(thm)],[c_0_64]) ).
cnf(c_0_71,negated_conjecture,
( ~ capital_city(s__Copenhagen,X1)
| ~ int(X2)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__Object(s__Copenhagen)
| ~ s__Object(X1) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_65,c_0_66]),c_0_67]),c_0_68])]) ).
cnf(c_0_72,plain,
( s__Object(X1)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_69,c_0_70]) ).
fof(c_0_73,plain,
int(esk17_0),
inference(skolemize,[status(esa)],[inference(variable_rename,[status(thm)],[int_type])]) ).
fof(c_0_74,plain,
! [X33] :
( ~ s__Nation(X33)
| s__GeopoliticalArea(X33) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6428])]) ).
cnf(c_0_75,negated_conjecture,
( ~ capital_city(s__Copenhagen,X1)
| ~ int(X2)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__Object(X1) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_71,c_0_72]),c_0_68])]) ).
cnf(c_0_76,plain,
int(esk17_0),
inference(split_conjunct,[status(thm)],[c_0_73]) ).
cnf(c_0_77,plain,
( s__GeopoliticalArea(X1)
| ~ s__Nation(X1) ),
inference(split_conjunct,[status(thm)],[c_0_74]) ).
cnf(c_0_78,negated_conjecture,
( ~ capital_city(s__Copenhagen,X1)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__Object(X1) ),
inference(spm,[status(thm)],[c_0_75,c_0_76]) ).
cnf(c_0_79,plain,
( s__Object(X1)
| ~ s__Nation(X1) ),
inference(spm,[status(thm)],[c_0_69,c_0_77]) ).
cnf(c_0_80,negated_conjecture,
( ~ capital_city(s__Copenhagen,X1)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__Nation(X1) ),
inference(spm,[status(thm)],[c_0_78,c_0_79]) ).
cnf(c_0_81,plain,
capital_city(s__Copenhagen,s__Denmark),
inference(split_conjunct,[status(thm)],[s__Copenhagen_s__Denmark]) ).
cnf(c_0_82,plain,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
inference(split_conjunct,[status(thm)],[s__Denmark_OECD]) ).
cnf(c_0_83,plain,
s__Nation(s__Denmark),
inference(split_conjunct,[status(thm)],[s__Denmark_type]) ).
cnf(c_0_84,negated_conjecture,
$false,
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_80,c_0_81]),c_0_82]),c_0_83])]),
[proof] ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.11/0.12 % Problem : CSR117+1 : TPTP v8.1.2. Released v4.1.0.
% 0.11/0.13 % Command : java -jar /export/starexec/sandbox/solver/bin/mcs_scs.jar %d %s
% 0.12/0.33 % Computer : n017.cluster.edu
% 0.12/0.33 % Model : x86_64 x86_64
% 0.12/0.33 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.33 % Memory : 8042.1875MB
% 0.12/0.33 % OS : Linux 3.10.0-693.el7.x86_64
% 0.12/0.33 % CPULimit : 300
% 0.12/0.33 % WCLimit : 300
% 0.12/0.33 % DateTime : Mon Aug 28 13:42:27 EDT 2023
% 0.12/0.33 % CPUTime :
% 0.19/0.58 start to proof: theBenchmark
% 0.19/0.63 % Version : CSE_E---1.5
% 0.19/0.63 % Problem : theBenchmark.p
% 0.19/0.63 % Proof found
% 0.19/0.63 % SZS status Theorem for theBenchmark.p
% 0.19/0.63 % SZS output start Proof
% See solution above
% 0.19/0.64 % Total time : 0.043000 s
% 0.19/0.64 % SZS output end Proof
% 0.19/0.64 % Total time : 0.048000 s
%------------------------------------------------------------------------------