%------------------------------------------------------------------------------
% File : CSE_E---1.7
% Problem : CSR117+1 : TPTP v9.2.1. Released v4.1.0.
% Transfm : none
% Format : tptp:raw
% Command : /export/starexec/sandbox/solver/bin/lemma_parallel_prover %s --lemma-prover /export/starexec/sandbox/solver/bin/cse --final-prover /export/starexec/sandbox/solver/bin/eprover --proof-time %d --global-time-limit %d
% Computer : n019.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 : Tue May 5 04:15:55 PM UTC 2026
% Result : Theorem 1.33s 1.74s
% Output : CNFRefutation 1.33s
% Verified :
% SZS Type : Refutation
% Derivation depth : 10
% Number of leaves : 29
% Syntax : Number of formulae : 84 ( 40 unt; 0 def)
% Number of atoms : 229 ( 9 equ)
% Maximal formula atoms : 18 ( 2 avg)
% Number of connectives : 251 ( 106 ~; 97 |; 37 &)
% ( 0 <=>; 11 =>; 0 <=; 0 <~>)
% Maximal formula depth : 30 ( 4 avg)
% Maximal term depth : 2 ( 1 avg)
% Number of predicates : 20 ( 18 usr; 1 prp; 0-5 aty)
% Number of functors : 20 ( 20 usr; 18 con; 0-1 aty)
% Number of variables : 98 ( 7 sgn 31 !; 23 ?)
% Comments :
%------------------------------------------------------------------------------
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_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(kb_SUMO_MILO_701,axiom,
! [X1] :
( s__Region(X1)
=> s__Object(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_701) ).
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(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(kb_SUMO_MILO_6437,axiom,
! [X1] :
( s__City(X1)
=> s__GeopoliticalArea(X1) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6437) ).
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(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(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(s__Copenhagen_type,axiom,
s__City(s__Copenhagen),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_type) ).
fof(copenhagen_coastal,axiom,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_coastal) ).
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('-35_type',axiom,
int('-35'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p','-35_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,
! [X102] :
( ~ s__GeographicArea(X102)
| s__Region(X102) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6365])]) ).
fof(c_0_31,plain,
! [X103] :
( ~ s__GeopoliticalArea(X103)
| s__GeographicArea(X103) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6345])]) ).
fof(c_0_32,negated_conjecture,
! [X114,X115,X116,X117,X118,X119,X120,X121,X122,X123,X124] :
( ~ s__Object(X114)
| ~ s__Object(X115)
| ~ real(X116)
| ~ real(X117)
| ~ s__SymbolicString(X118)
| ~ s__SymbolicString(X119)
| ~ int(X120)
| ~ real(X121)
| ~ real(X122)
| ~ s__SymbolicString(X123)
| ~ s__SymbolicString(X124)
| ~ is_instance(X115,s__OECDMemberEconomiesClass)
| ~ capital_city(X114,X115)
| ~ look_different(X114,s__Moscow)
| ~ latlong(X114,X116,X117,X118,X119)
| ~ latlong(s__Moscow,X121,X122,X123,X124)
| to_int(X116) != to_int(X121)
| ~ s__capability(s__Flooding__t,s__located__m,X114) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[c_0_29])]) ).
fof(c_0_33,plain,
! [X101] :
( ~ s__Region(X101)
| s__Object(X101) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_701])]) ).
cnf(c_0_34,plain,
( s__Region(X1)
| ~ s__GeographicArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_30]) ).
cnf(c_0_35,plain,
( s__GeographicArea(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_31]) ).
fof(c_0_36,plain,
! [X108] :
( ~ s__Sea(X108)
| s__BodyOfWater(X108) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_Domains_9679])]) ).
fof(c_0_37,plain,
! [X110] :
( ( s__Sea(esk15_1(X110))
| ~ is_instance(X110,s__CoastalCitiesClass)
| ~ s__City(X110) )
& ( s__orientation(X110,esk15_1(X110),s__Near)
| ~ is_instance(X110,s__CoastalCitiesClass)
| ~ s__City(X110) ) ),
inference(distribute,[status(thm)],[inference(skolemize,[status(esa)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[coastal_cities_near_water])])])]) ).
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]) ).
cnf(c_0_45,plain,
( s__Object(X1)
| ~ s__Region(X1) ),
inference(split_conjunct,[status(thm)],[c_0_33]) ).
cnf(c_0_46,plain,
( s__Region(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(spm,[status(thm)],[c_0_34,c_0_35]) ).
fof(c_0_47,plain,
! [X105] :
( ~ s__City(X105)
| s__GeopoliticalArea(X105) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6437])]) ).
fof(c_0_48,plain,
! [X107] :
( ~ s__BodyOfWater(X107)
| s__WaterArea(X107) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_Domains_9582])]) ).
cnf(c_0_49,plain,
( s__BodyOfWater(X1)
| ~ s__Sea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_36]) ).
cnf(c_0_50,plain,
( s__Sea(esk15_1(X1))
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(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__Object(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(spm,[status(thm)],[c_0_45,c_0_46]) ).
cnf(c_0_60,plain,
( s__GeopoliticalArea(X1)
| ~ s__City(X1) ),
inference(split_conjunct,[status(thm)],[c_0_47]) ).
fof(c_0_61,plain,
! [X112,X113] :
( ~ s__WaterArea(X112)
| ~ s__City(X113)
| ~ s__orientation(X113,X112,s__Near)
| s__capability(s__Flooding__t,s__located__m,X113) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[flood_near_water])]) ).
cnf(c_0_62,plain,
( s__WaterArea(X1)
| ~ s__BodyOfWater(X1) ),
inference(split_conjunct,[status(thm)],[c_0_48]) ).
cnf(c_0_63,plain,
( s__BodyOfWater(esk15_1(X1))
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_49,c_0_50]) ).
cnf(c_0_64,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_65,plain,
( s__Object(X1)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_59,c_0_60]) ).
cnf(c_0_66,plain,
s__City(s__Copenhagen),
inference(split_conjunct,[status(thm)],[s__Copenhagen_type]) ).
cnf(c_0_67,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_61]) ).
cnf(c_0_68,plain,
( s__orientation(X1,esk15_1(X1),s__Near)
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(split_conjunct,[status(thm)],[c_0_37]) ).
cnf(c_0_69,plain,
( s__WaterArea(esk15_1(X1))
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_62,c_0_63]) ).
cnf(c_0_70,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(X1) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_64,c_0_65]),c_0_66])]) ).
cnf(c_0_71,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_67,c_0_68]),c_0_69]) ).
cnf(c_0_72,plain,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
inference(split_conjunct,[status(thm)],[copenhagen_coastal]) ).
fof(c_0_73,plain,
! [X104] :
( ~ s__Nation(X104)
| s__GeopoliticalArea(X104) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6428])]) ).
cnf(c_0_74,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(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_70,c_0_71]),c_0_72]),c_0_66])]) ).
cnf(c_0_75,plain,
capital_city(s__Copenhagen,s__Denmark),
inference(split_conjunct,[status(thm)],[s__Copenhagen_s__Denmark]) ).
cnf(c_0_76,plain,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
inference(split_conjunct,[status(thm)],[s__Denmark_OECD]) ).
cnf(c_0_77,plain,
( s__GeopoliticalArea(X1)
| ~ s__Nation(X1) ),
inference(split_conjunct,[status(thm)],[c_0_73]) ).
cnf(c_0_78,negated_conjecture,
( ~ int(X1)
| ~ s__Object(s__Denmark) ),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_74,c_0_75]),c_0_76])]) ).
cnf(c_0_79,plain,
( s__Object(X1)
| ~ s__Nation(X1) ),
inference(spm,[status(thm)],[c_0_59,c_0_77]) ).
cnf(c_0_80,plain,
s__Nation(s__Denmark),
inference(split_conjunct,[status(thm)],[s__Denmark_type]) ).
cnf(c_0_81,plain,
int('-35'),
inference(split_conjunct,[status(thm)],['-35_type']) ).
cnf(c_0_82,negated_conjecture,
~ int(X1),
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_78,c_0_79]),c_0_80])]) ).
cnf(c_0_83,plain,
$false,
inference(sr,[status(thm)],[c_0_81,c_0_82]),
[proof] ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR117+1 : TPTP v9.2.1. Released v4.1.0.
% 0.00/0.12 % Command : /export/starexec/sandbox/solver/bin/lemma_parallel_prover %s --lemma-prover /export/starexec/sandbox/solver/bin/cse --final-prover /export/starexec/sandbox/solver/bin/eprover --proof-time %d --global-time-limit %d
% 0.16/0.33 % Computer : n019.cluster.edu
% 0.16/0.33 % Model : x86_64 x86_64
% 0.16/0.33 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.16/0.33 % Memory : 8042.1875MB
% 0.16/0.33 % OS : Linux 3.10.0-693.el7.x86_64
% 0.16/0.33 % CPULimit : 300
% 0.16/0.33 % WCLimit : 300
% 0.16/0.33 % DateTime : Mon May 4 17:08:44 EDT 2026
% 0.16/0.34 % CPUTime :
% 0.16/0.35 % start to proof: theBenchmark
% 1.33/1.74 % Version : CSE_E---1.7
% 1.33/1.74 % Problem : theBenchmark.p
% 1.33/1.74 % SZS status Theorem for theBenchmark.p
% 1.33/1.74 % SZS output start CNFRefutation
% See solution above
% 1.33/1.74 % Total time : 1.373s
%------------------------------------------------------------------------------