TSTP Solution File: CSR117+1 by ET---2.0
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- Process Solution
%------------------------------------------------------------------------------
% File : ET---2.0
% Problem : CSR117+1 : TPTP v8.1.0. Released v4.1.0.
% Transfm : none
% Format : tptp:raw
% Command : run_ET %s %d
% Computer : n032.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 : 600s
% DateTime : Fri Jul 15 03:03:34 EDT 2022
% Result : Theorem 0.17s 1.35s
% Output : CNFRefutation 0.17s
% Verified :
% SZS Type : Refutation
% Derivation depth : 10
% Number of leaves : 29
% Syntax : Number of formulae : 86 ( 40 unt; 0 def)
% Number of atoms : 237 ( 9 equ)
% Maximal formula atoms : 18 ( 2 avg)
% Number of connectives : 263 ( 112 ~; 103 |; 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 : 100 ( 5 sgn 31 !; 24 ?)
% 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/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',where) ).
fof(kb_SUMO_MILO_Domains_9679,axiom,
! [X1] :
( s__Sea(X1)
=> s__BodyOfWater(X1) ),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',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/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',coastal_cities_near_water) ).
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/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',flood_near_water) ).
fof(kb_SUMO_MILO_Domains_9582,axiom,
! [X1] :
( s__BodyOfWater(X1)
=> s__WaterArea(X1) ),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',kb_SUMO_MILO_Domains_9582) ).
fof(kb_SUMO_MILO_6365,axiom,
! [X1] :
( s__GeographicArea(X1)
=> s__Region(X1) ),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',kb_SUMO_MILO_6365) ).
fof(kb_SUMO_MILO_6345,axiom,
! [X1] :
( s__GeopoliticalArea(X1)
=> s__GeographicArea(X1) ),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',kb_SUMO_MILO_6345) ).
fof(latlong_s__Moscow,axiom,
latlong(s__Moscow,'55.75695','37.614975',moscow,ru),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',latlong_s__Moscow) ).
fof('55.75695_55',axiom,
to_int('55.75695') = '55',
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in','55.75695_55') ).
fof(moscow_long_type,axiom,
real('37.614975'),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',moscow_long_type) ).
fof(moscow_lat_type,axiom,
real('55.75695'),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',moscow_lat_type) ).
fof(ru_type,axiom,
s__SymbolicString(ru),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',ru_type) ).
fof(moscow_type,axiom,
s__SymbolicString(moscow),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',moscow_type) ).
fof(kb_SUMO_MILO_701,axiom,
! [X1] :
( s__Region(X1)
=> s__Object(X1) ),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',kb_SUMO_MILO_701) ).
fof(latlong_s__Copenhagen,axiom,
latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',latlong_s__Copenhagen) ).
fof('55.67631_55',axiom,
to_int('55.67631') = '55',
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in','55.67631_55') ).
fof(s__Copenhagen_not_s__Moscow,axiom,
look_different(s__Copenhagen,s__Moscow),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',s__Copenhagen_not_s__Moscow) ).
fof(copenhagen_long_type,axiom,
real('12.569355'),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',copenhagen_long_type) ).
fof(copenhagen_lat_type,axiom,
real('55.67631'),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',copenhagen_lat_type) ).
fof(dk_type,axiom,
s__SymbolicString(dk),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',dk_type) ).
fof(copenhagen_type,axiom,
s__SymbolicString(copenhagen),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',copenhagen_type) ).
fof(kb_SUMO_MILO_6437,axiom,
! [X1] :
( s__City(X1)
=> s__GeopoliticalArea(X1) ),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',kb_SUMO_MILO_6437) ).
fof(copenhagen_coastal,axiom,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',copenhagen_coastal) ).
fof(s__Copenhagen_type,axiom,
s__City(s__Copenhagen),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',s__Copenhagen_type) ).
fof(int_type,axiom,
? [X1] : int(X1),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',int_type) ).
fof(kb_SUMO_MILO_6428,axiom,
! [X1] :
( s__Nation(X1)
=> s__GeopoliticalArea(X1) ),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',kb_SUMO_MILO_6428) ).
fof(s__Copenhagen_s__Denmark,axiom,
capital_city(s__Copenhagen,s__Denmark),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',s__Copenhagen_s__Denmark) ).
fof(s__Denmark_OECD,axiom,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',s__Denmark_OECD) ).
fof(s__Denmark_type,axiom,
s__Nation(s__Denmark),
file('/export/starexec/sandbox2/solver/bin/../tmp/theBenchmark.p.mepo_128.in',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,
! [X2] :
( ~ s__Sea(X2)
| s__BodyOfWater(X2) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_Domains_9679])]) ).
fof(c_0_31,plain,
! [X4] :
( ( s__Sea(esk15_1(X4))
| ~ is_instance(X4,s__CoastalCitiesClass)
| ~ s__City(X4) )
& ( s__orientation(X4,esk15_1(X4),s__Near)
| ~ is_instance(X4,s__CoastalCitiesClass)
| ~ s__City(X4) ) ),
inference(distribute,[status(thm)],[inference(skolemize,[status(esa)],[inference(shift_quantors,[status(thm)],[inference(shift_quantors,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[coastal_cities_near_water])])])])])]) ).
fof(c_0_32,negated_conjecture,
! [X16,X17,X18,X19,X20,X21,X22,X23,X24,X25,X26] :
( ~ s__Object(X16)
| ~ s__Object(X17)
| ~ real(X18)
| ~ real(X19)
| ~ s__SymbolicString(X20)
| ~ s__SymbolicString(X21)
| ~ int(X22)
| ~ real(X23)
| ~ real(X24)
| ~ s__SymbolicString(X25)
| ~ s__SymbolicString(X26)
| ~ is_instance(X17,s__OECDMemberEconomiesClass)
| ~ capital_city(X16,X17)
| ~ look_different(X16,s__Moscow)
| ~ latlong(X16,X18,X19,X20,X21)
| ~ latlong(s__Moscow,X23,X24,X25,X26)
| to_int(X18) != to_int(X23)
| ~ s__capability(s__Flooding__t,s__located__m,X16) ),
inference(shift_quantors,[status(thm)],[inference(shift_quantors,[status(thm)],[inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[c_0_29])])])]) ).
fof(c_0_33,plain,
! [X6,X7] :
( ~ s__WaterArea(X6)
| ~ s__City(X7)
| ~ s__orientation(X7,X6,s__Near)
| s__capability(s__Flooding__t,s__located__m,X7) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[flood_near_water])]) ).
fof(c_0_34,plain,
! [X2] :
( ~ s__BodyOfWater(X2)
| s__WaterArea(X2) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_Domains_9582])]) ).
cnf(c_0_35,plain,
( s__BodyOfWater(X1)
| ~ s__Sea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_30]) ).
cnf(c_0_36,plain,
( s__Sea(esk15_1(X1))
| ~ s__City(X1)
| ~ is_instance(X1,s__CoastalCitiesClass) ),
inference(split_conjunct,[status(thm)],[c_0_31]) ).
fof(c_0_37,plain,
! [X2] :
( ~ s__GeographicArea(X2)
| s__Region(X2) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6365])]) ).
fof(c_0_38,plain,
! [X2] :
( ~ s__GeopoliticalArea(X2)
| s__GeographicArea(X2) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6345])]) ).
cnf(c_0_39,negated_conjecture,
( ~ s__capability(s__Flooding__t,s__located__m,X1)
| to_int(X2) != to_int(X3)
| ~ latlong(s__Moscow,X3,X4,X5,X6)
| ~ latlong(X1,X2,X7,X8,X9)
| ~ look_different(X1,s__Moscow)
| ~ capital_city(X1,X10)
| ~ is_instance(X10,s__OECDMemberEconomiesClass)
| ~ s__SymbolicString(X6)
| ~ s__SymbolicString(X5)
| ~ real(X4)
| ~ real(X3)
| ~ int(X11)
| ~ s__SymbolicString(X9)
| ~ s__SymbolicString(X8)
| ~ real(X7)
| ~ real(X2)
| ~ s__Object(X10)
| ~ s__Object(X1) ),
inference(split_conjunct,[status(thm)],[c_0_32]) ).
cnf(c_0_40,plain,
latlong(s__Moscow,'55.75695','37.614975',moscow,ru),
inference(split_conjunct,[status(thm)],[latlong_s__Moscow]) ).
cnf(c_0_41,plain,
to_int('55.75695') = '55',
inference(split_conjunct,[status(thm)],['55.75695_55']) ).
cnf(c_0_42,plain,
real('37.614975'),
inference(split_conjunct,[status(thm)],[moscow_long_type]) ).
cnf(c_0_43,plain,
real('55.75695'),
inference(split_conjunct,[status(thm)],[moscow_lat_type]) ).
cnf(c_0_44,plain,
s__SymbolicString(ru),
inference(split_conjunct,[status(thm)],[ru_type]) ).
cnf(c_0_45,plain,
s__SymbolicString(moscow),
inference(split_conjunct,[status(thm)],[moscow_type]) ).
cnf(c_0_46,plain,
( s__capability(s__Flooding__t,s__located__m,X1)
| ~ s__orientation(X1,X2,s__Near)
| ~ s__City(X1)
| ~ s__WaterArea(X2) ),
inference(split_conjunct,[status(thm)],[c_0_33]) ).
cnf(c_0_47,plain,
( s__orientation(X1,esk15_1(X1),s__Near)
| ~ s__City(X1)
| ~ is_instance(X1,s__CoastalCitiesClass) ),
inference(split_conjunct,[status(thm)],[c_0_31]) ).
cnf(c_0_48,plain,
( s__WaterArea(X1)
| ~ s__BodyOfWater(X1) ),
inference(split_conjunct,[status(thm)],[c_0_34]) ).
cnf(c_0_49,plain,
( s__BodyOfWater(esk15_1(X1))
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_35,c_0_36]) ).
fof(c_0_50,plain,
! [X2] :
( ~ s__Region(X2)
| s__Object(X2) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_701])]) ).
cnf(c_0_51,plain,
( s__Region(X1)
| ~ s__GeographicArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_37]) ).
cnf(c_0_52,plain,
( s__GeographicArea(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(split_conjunct,[status(thm)],[c_0_38]) ).
cnf(c_0_53,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_39,c_0_40]),c_0_41]),c_0_42]),c_0_43]),c_0_44]),c_0_45])]) ).
cnf(c_0_54,plain,
latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),
inference(split_conjunct,[status(thm)],[latlong_s__Copenhagen]) ).
cnf(c_0_55,plain,
to_int('55.67631') = '55',
inference(split_conjunct,[status(thm)],['55.67631_55']) ).
cnf(c_0_56,plain,
look_different(s__Copenhagen,s__Moscow),
inference(split_conjunct,[status(thm)],[s__Copenhagen_not_s__Moscow]) ).
cnf(c_0_57,plain,
real('12.569355'),
inference(split_conjunct,[status(thm)],[copenhagen_long_type]) ).
cnf(c_0_58,plain,
real('55.67631'),
inference(split_conjunct,[status(thm)],[copenhagen_lat_type]) ).
cnf(c_0_59,plain,
s__SymbolicString(dk),
inference(split_conjunct,[status(thm)],[dk_type]) ).
cnf(c_0_60,plain,
s__SymbolicString(copenhagen),
inference(split_conjunct,[status(thm)],[copenhagen_type]) ).
cnf(c_0_61,plain,
( s__capability(s__Flooding__t,s__located__m,X1)
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__WaterArea(esk15_1(X1))
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_46,c_0_47]) ).
cnf(c_0_62,plain,
( s__WaterArea(esk15_1(X1))
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_48,c_0_49]) ).
cnf(c_0_63,plain,
( s__Object(X1)
| ~ s__Region(X1) ),
inference(split_conjunct,[status(thm)],[c_0_50]) ).
cnf(c_0_64,plain,
( s__Region(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(spm,[status(thm)],[c_0_51,c_0_52]) ).
fof(c_0_65,plain,
! [X2] :
( ~ s__City(X2)
| s__GeopoliticalArea(X2) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6437])]) ).
cnf(c_0_66,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_53,c_0_54]),c_0_55]),c_0_56]),c_0_57]),c_0_58]),c_0_59]),c_0_60])]) ).
cnf(c_0_67,plain,
( s__capability(s__Flooding__t,s__located__m,X1)
| ~ is_instance(X1,s__CoastalCitiesClass)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_61,c_0_62]) ).
cnf(c_0_68,plain,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
inference(split_conjunct,[status(thm)],[copenhagen_coastal]) ).
cnf(c_0_69,plain,
s__City(s__Copenhagen),
inference(split_conjunct,[status(thm)],[s__Copenhagen_type]) ).
cnf(c_0_70,plain,
( s__Object(X1)
| ~ s__GeopoliticalArea(X1) ),
inference(spm,[status(thm)],[c_0_63,c_0_64]) ).
cnf(c_0_71,plain,
( s__GeopoliticalArea(X1)
| ~ s__City(X1) ),
inference(split_conjunct,[status(thm)],[c_0_65]) ).
cnf(c_0_72,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_66,c_0_67]),c_0_68]),c_0_69])]) ).
cnf(c_0_73,plain,
( s__Object(X1)
| ~ s__City(X1) ),
inference(spm,[status(thm)],[c_0_70,c_0_71]) ).
fof(c_0_74,plain,
int(esk17_0),
inference(skolemize,[status(esa)],[inference(variable_rename,[status(thm)],[int_type])]) ).
fof(c_0_75,plain,
! [X2] :
( ~ s__Nation(X2)
| s__GeopoliticalArea(X2) ),
inference(variable_rename,[status(thm)],[inference(fof_nnf,[status(thm)],[kb_SUMO_MILO_6428])]) ).
cnf(c_0_76,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_72,c_0_73]),c_0_69])]) ).
cnf(c_0_77,plain,
int(esk17_0),
inference(split_conjunct,[status(thm)],[c_0_74]) ).
cnf(c_0_78,plain,
( s__GeopoliticalArea(X1)
| ~ s__Nation(X1) ),
inference(split_conjunct,[status(thm)],[c_0_75]) ).
cnf(c_0_79,negated_conjecture,
( ~ capital_city(s__Copenhagen,X1)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__Object(X1) ),
inference(spm,[status(thm)],[c_0_76,c_0_77]) ).
cnf(c_0_80,plain,
( s__Object(X1)
| ~ s__Nation(X1) ),
inference(spm,[status(thm)],[c_0_70,c_0_78]) ).
cnf(c_0_81,negated_conjecture,
( ~ capital_city(s__Copenhagen,X1)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__Nation(X1) ),
inference(spm,[status(thm)],[c_0_79,c_0_80]) ).
cnf(c_0_82,plain,
capital_city(s__Copenhagen,s__Denmark),
inference(split_conjunct,[status(thm)],[s__Copenhagen_s__Denmark]) ).
cnf(c_0_83,plain,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
inference(split_conjunct,[status(thm)],[s__Denmark_OECD]) ).
cnf(c_0_84,plain,
s__Nation(s__Denmark),
inference(split_conjunct,[status(thm)],[s__Denmark_type]) ).
cnf(c_0_85,negated_conjecture,
$false,
inference(cn,[status(thm)],[inference(rw,[status(thm)],[inference(rw,[status(thm)],[inference(spm,[status(thm)],[c_0_81,c_0_82]),c_0_83]),c_0_84])]),
[proof] ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.08/0.09 % Problem : CSR117+1 : TPTP v8.1.0. Released v4.1.0.
% 0.08/0.10 % Command : run_ET %s %d
% 0.09/0.29 % Computer : n032.cluster.edu
% 0.09/0.29 % Model : x86_64 x86_64
% 0.09/0.29 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.09/0.29 % Memory : 8042.1875MB
% 0.09/0.29 % OS : Linux 3.10.0-693.el7.x86_64
% 0.09/0.29 % CPULimit : 300
% 0.09/0.29 % WCLimit : 600
% 0.09/0.29 % DateTime : Sat Jun 11 18:11:55 EDT 2022
% 0.09/0.29 % CPUTime :
% 0.17/1.35 # Running protocol protocol_eprover_4a02c828a8cc55752123edbcc1ad40e453c11447 for 23 seconds:
% 0.17/1.35 # SinE strategy is GSinE(CountFormulas,hypos,1.4,,04,100,1.0)
% 0.17/1.35 # Preprocessing time : 0.016 s
% 0.17/1.35
% 0.17/1.35 # Failure: Out of unprocessed clauses!
% 0.17/1.35 # OLD status GaveUp
% 0.17/1.35 # Parsed axioms : 269
% 0.17/1.35 # Removed by relevancy pruning/SinE : 206
% 0.17/1.35 # Initial clauses : 64
% 0.17/1.35 # Removed in clause preprocessing : 0
% 0.17/1.35 # Initial clauses in saturation : 64
% 0.17/1.35 # Processed clauses : 135
% 0.17/1.35 # ...of these trivial : 0
% 0.17/1.35 # ...subsumed : 0
% 0.17/1.35 # ...remaining for further processing : 135
% 0.17/1.35 # Other redundant clauses eliminated : 0
% 0.17/1.35 # Clauses deleted for lack of memory : 0
% 0.17/1.35 # Backward-subsumed : 0
% 0.17/1.35 # Backward-rewritten : 0
% 0.17/1.35 # Generated clauses : 71
% 0.17/1.35 # ...of the previous two non-trivial : 71
% 0.17/1.35 # Contextual simplify-reflections : 1
% 0.17/1.35 # Paramodulations : 71
% 0.17/1.35 # Factorizations : 0
% 0.17/1.35 # Equation resolutions : 0
% 0.17/1.35 # Current number of processed clauses : 135
% 0.17/1.35 # Positive orientable unit clauses : 30
% 0.17/1.35 # Positive unorientable unit clauses: 0
% 0.17/1.35 # Negative unit clauses : 57
% 0.17/1.35 # Non-unit-clauses : 48
% 0.17/1.35 # Current number of unprocessed clauses: 0
% 0.17/1.35 # ...number of literals in the above : 0
% 0.17/1.35 # Current number of archived formulas : 0
% 0.17/1.35 # Current number of archived clauses : 0
% 0.17/1.35 # Clause-clause subsumption calls (NU) : 450
% 0.17/1.35 # Rec. Clause-clause subsumption calls : 335
% 0.17/1.35 # Non-unit clause-clause subsumptions : 1
% 0.17/1.35 # Unit Clause-clause subsumption calls : 827
% 0.17/1.35 # Rewrite failures with RHS unbound : 0
% 0.17/1.35 # BW rewrite match attempts : 0
% 0.17/1.35 # BW rewrite match successes : 0
% 0.17/1.35 # Condensation attempts : 0
% 0.17/1.35 # Condensation successes : 0
% 0.17/1.35 # Termbank termtop insertions : 4265
% 0.17/1.35
% 0.17/1.35 # -------------------------------------------------
% 0.17/1.35 # User time : 0.019 s
% 0.17/1.35 # System time : 0.001 s
% 0.17/1.35 # Total time : 0.020 s
% 0.17/1.35 # Maximum resident set size: 3488 pages
% 0.17/1.35 # Running protocol protocol_eprover_f171197f65f27d1ba69648a20c844832c84a5dd7 for 23 seconds:
% 0.17/1.35 # Preprocessing time : 0.013 s
% 0.17/1.35
% 0.17/1.35 # Proof found!
% 0.17/1.35 # SZS status Theorem
% 0.17/1.35 # SZS output start CNFRefutation
% See solution above
% 0.17/1.35 # Proof object total steps : 86
% 0.17/1.35 # Proof object clause steps : 45
% 0.17/1.35 # Proof object formula steps : 41
% 0.17/1.35 # Proof object conjectures : 11
% 0.17/1.35 # Proof object clause conjectures : 8
% 0.17/1.35 # Proof object formula conjectures : 3
% 0.17/1.35 # Proof object initial clauses used : 30
% 0.17/1.35 # Proof object initial formulas used : 29
% 0.17/1.35 # Proof object generating inferences : 15
% 0.17/1.35 # Proof object simplifying inferences : 21
% 0.17/1.35 # Training examples: 0 positive, 0 negative
% 0.17/1.35 # Parsed axioms : 269
% 0.17/1.35 # Removed by relevancy pruning/SinE : 0
% 0.17/1.35 # Initial clauses : 270
% 0.17/1.35 # Removed in clause preprocessing : 0
% 0.17/1.35 # Initial clauses in saturation : 270
% 0.17/1.35 # Processed clauses : 678
% 0.17/1.35 # ...of these trivial : 0
% 0.17/1.35 # ...subsumed : 64
% 0.17/1.35 # ...remaining for further processing : 614
% 0.17/1.35 # Other redundant clauses eliminated : 0
% 0.17/1.35 # Clauses deleted for lack of memory : 0
% 0.17/1.35 # Backward-subsumed : 6
% 0.17/1.35 # Backward-rewritten : 0
% 0.17/1.35 # Generated clauses : 466
% 0.17/1.35 # ...of the previous two non-trivial : 449
% 0.17/1.35 # Contextual simplify-reflections : 0
% 0.17/1.35 # Paramodulations : 466
% 0.17/1.35 # Factorizations : 0
% 0.17/1.35 # Equation resolutions : 0
% 0.17/1.35 # Current number of processed clauses : 608
% 0.17/1.35 # Positive orientable unit clauses : 236
% 0.17/1.35 # Positive unorientable unit clauses: 0
% 0.17/1.35 # Negative unit clauses : 273
% 0.17/1.35 # Non-unit-clauses : 99
% 0.17/1.35 # Current number of unprocessed clauses: 17
% 0.17/1.35 # ...number of literals in the above : 111
% 0.17/1.35 # Current number of archived formulas : 0
% 0.17/1.35 # Current number of archived clauses : 6
% 0.17/1.35 # Clause-clause subsumption calls (NU) : 8721
% 0.17/1.35 # Rec. Clause-clause subsumption calls : 2629
% 0.17/1.35 # Non-unit clause-clause subsumptions : 6
% 0.17/1.35 # Unit Clause-clause subsumption calls : 21473
% 0.17/1.35 # Rewrite failures with RHS unbound : 0
% 0.17/1.35 # BW rewrite match attempts : 0
% 0.17/1.35 # BW rewrite match successes : 0
% 0.17/1.35 # Condensation attempts : 0
% 0.17/1.35 # Condensation successes : 0
% 0.17/1.35 # Termbank termtop insertions : 10589
% 0.17/1.35
% 0.17/1.35 # -------------------------------------------------
% 0.17/1.35 # User time : 0.029 s
% 0.17/1.35 # System time : 0.002 s
% 0.17/1.35 # Total time : 0.031 s
% 0.17/1.35 # Maximum resident set size: 5112 pages
%------------------------------------------------------------------------------