TSTP Solution File: CSR117+1 by SRASS---0.1
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- Process Solution
%------------------------------------------------------------------------------
% File : SRASS---0.1
% Problem : CSR117+1 : TPTP v5.0.0. Released v4.1.0.
% Transfm : none
% Format : tptp
% Command : SRASS -q2 -a 0 10 10 10 -i3 -n60 %s
% Computer : art07.cs.miami.edu
% Model : i686 i686
% CPU : Intel(R) Pentium(R) 4 CPU 2.80GHz @ 2793MHz
% Memory : 2018MB
% OS : Linux 2.6.26.8-57.fc8
% CPULimit : 300s
% DateTime : Wed Dec 29 04:16:38 EST 2010
% Result : Theorem 3.19s
% Output : Solution 3.19s
% Verified :
% SZS Type : None (Parsing solution fails)
% Syntax : Number of formulae : 0
% Comments :
%------------------------------------------------------------------------------
%----ERROR: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% Reading problem from /tmp/SystemOnTPTP568/CSR117+1.tptp
% Adding relevance values
% Extracting the conjecture
% Sorting axioms by relevance
% Looking for THM ...
% found
% SZS status THM for /tmp/SystemOnTPTP568/CSR117+1.tptp
% SZS output start Solution for /tmp/SystemOnTPTP568/CSR117+1.tptp
% TreeLimitedRun: ----------------------------------------------------------
% TreeLimitedRun: /home/graph/tptp/Systems/EP---1.2/eproof --print-statistics -xAuto -tAuto --cpu-limit=60 --proof-time-unlimited --memory-limit=Auto --tstp-in --tstp-out /tmp/SRASS.s.p
% TreeLimitedRun: CPU time limit is 60s
% TreeLimitedRun: WC time limit is 120s
% TreeLimitedRun: PID is 665
% TreeLimitedRun: ----------------------------------------------------------
% PrfWatch: 0.00 CPU 0.01 WC
% # Preprocessing time : 0.020 s
% # Problem is unsatisfiable (or provable), constructing proof object
% # SZS status Theorem
% # SZS output start CNFRefutation.
% fof(19, axiom,look_different(s__Copenhagen,s__Moscow),file('/tmp/SRASS.s.p', s__Copenhagen_not_s__Moscow)).
% fof(29, axiom,is_instance(s__Denmark,s__OECDMemberEconomiesClass),file('/tmp/SRASS.s.p', s__Denmark_OECD)).
% fof(68, axiom,![X1]:(s__Region(X1)=>s__Object(X1)),file('/tmp/SRASS.s.p', kb_SUMO_MILO_701)).
% fof(84, axiom,to_int('55.67631')='55',file('/tmp/SRASS.s.p', '55.67631_55')).
% fof(85, axiom,to_int('55.75695')='55',file('/tmp/SRASS.s.p', '55.75695_55')).
% fof(91, axiom,int('-35'),file('/tmp/SRASS.s.p', '-35_type')).
% fof(132, axiom,real('55.67631'),file('/tmp/SRASS.s.p', copenhagen_lat_type)).
% fof(133, axiom,real('12.569355'),file('/tmp/SRASS.s.p', copenhagen_long_type)).
% fof(134, axiom,s__SymbolicString(copenhagen),file('/tmp/SRASS.s.p', copenhagen_type)).
% fof(135, axiom,s__SymbolicString(dk),file('/tmp/SRASS.s.p', dk_type)).
% fof(148, axiom,real('55.75695'),file('/tmp/SRASS.s.p', moscow_lat_type)).
% fof(149, axiom,real('37.614975'),file('/tmp/SRASS.s.p', moscow_long_type)).
% fof(150, axiom,s__SymbolicString(moscow),file('/tmp/SRASS.s.p', moscow_type)).
% fof(151, axiom,s__SymbolicString(ru),file('/tmp/SRASS.s.p', ru_type)).
% fof(172, axiom,![X2]:![X3]:((s__WaterArea(X2)&s__City(X3))=>(s__orientation(X3,X2,s__Near)=>s__capability(s__Flooding__t,s__located__m,X3))),file('/tmp/SRASS.s.p', flood_near_water)).
% fof(184, axiom,capital_city(s__Copenhagen,s__Denmark),file('/tmp/SRASS.s.p', s__Copenhagen_s__Denmark)).
% fof(193, axiom,latlong(s__Moscow,'55.75695','37.614975',moscow,ru),file('/tmp/SRASS.s.p', latlong_s__Moscow)).
% fof(194, axiom,is_instance(s__Copenhagen,s__CoastalCitiesClass),file('/tmp/SRASS.s.p', copenhagen_coastal)).
% fof(196, axiom,s__Nation(s__Denmark),file('/tmp/SRASS.s.p', s__Denmark_type)).
% fof(227, axiom,s__City(s__Copenhagen),file('/tmp/SRASS.s.p', s__Copenhagen_type)).
% fof(236, axiom,![X1]:(s__GeographicArea(X1)=>s__Region(X1)),file('/tmp/SRASS.s.p', kb_SUMO_MILO_6365)).
% fof(238, axiom,![X1]:(s__BodyOfWater(X1)=>s__WaterArea(X1)),file('/tmp/SRASS.s.p', kb_SUMO_MILO_Domains_9582)).
% fof(241, axiom,![X4]:(s__City(X4)=>(is_instance(X4,s__CoastalCitiesClass)=>?[X5]:(s__Sea(X5)&s__orientation(X4,X5,s__Near)))),file('/tmp/SRASS.s.p', coastal_cities_near_water)).
% fof(250, axiom,![X1]:(s__City(X1)=>s__GeopoliticalArea(X1)),file('/tmp/SRASS.s.p', kb_SUMO_MILO_6437)).
% fof(251, axiom,![X1]:(s__GeopoliticalArea(X1)=>s__GeographicArea(X1)),file('/tmp/SRASS.s.p', kb_SUMO_MILO_6345)).
% fof(252, axiom,![X1]:(s__Nation(X1)=>s__GeopoliticalArea(X1)),file('/tmp/SRASS.s.p', kb_SUMO_MILO_6428)).
% fof(253, axiom,![X1]:(s__Sea(X1)=>s__BodyOfWater(X1)),file('/tmp/SRASS.s.p', kb_SUMO_MILO_Domains_9679)).
% fof(260, axiom,latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),file('/tmp/SRASS.s.p', latlong_s__Copenhagen)).
% fof(269, conjecture,?[X4]:?[X6]:?[X7]:?[X8]:?[X9]:?[X10]:?[X11]:?[X12]:?[X13]:?[X14]:?[X15]:(((((((((((((((((s__Object(X4)&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(X4,X6))&look_different(X4,s__Moscow))&latlong(X4,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,X4)),file('/tmp/SRASS.s.p', where)).
% fof(270, negated_conjecture,~(?[X4]:?[X6]:?[X7]:?[X8]:?[X9]:?[X10]:?[X11]:?[X12]:?[X13]:?[X14]:?[X15]:(((((((((((((((((s__Object(X4)&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(X4,X6))&look_different(X4,s__Moscow))&latlong(X4,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,X4))),inference(assume_negation,[status(cth)],[269])).
% cnf(341,plain,(look_different(s__Copenhagen,s__Moscow)),inference(split_conjunct,[status(thm)],[19])).
% cnf(351,plain,(is_instance(s__Denmark,s__OECDMemberEconomiesClass)),inference(split_conjunct,[status(thm)],[29])).
% fof(412, plain,![X1]:(~(s__Region(X1))|s__Object(X1)),inference(fof_nnf,[status(thm)],[68])).
% fof(413, plain,![X2]:(~(s__Region(X2))|s__Object(X2)),inference(variable_rename,[status(thm)],[412])).
% cnf(414,plain,(s__Object(X1)|~s__Region(X1)),inference(split_conjunct,[status(thm)],[413])).
% cnf(430,plain,(to_int('55.67631')='55'),inference(split_conjunct,[status(thm)],[84])).
% cnf(431,plain,(to_int('55.75695')='55'),inference(split_conjunct,[status(thm)],[85])).
% cnf(445,plain,(int('-35')),inference(split_conjunct,[status(thm)],[91])).
% cnf(502,plain,(real('55.67631')),inference(split_conjunct,[status(thm)],[132])).
% cnf(503,plain,(real('12.569355')),inference(split_conjunct,[status(thm)],[133])).
% cnf(504,plain,(s__SymbolicString(copenhagen)),inference(split_conjunct,[status(thm)],[134])).
% cnf(505,plain,(s__SymbolicString(dk)),inference(split_conjunct,[status(thm)],[135])).
% cnf(518,plain,(real('55.75695')),inference(split_conjunct,[status(thm)],[148])).
% cnf(519,plain,(real('37.614975')),inference(split_conjunct,[status(thm)],[149])).
% cnf(520,plain,(s__SymbolicString(moscow)),inference(split_conjunct,[status(thm)],[150])).
% cnf(521,plain,(s__SymbolicString(ru)),inference(split_conjunct,[status(thm)],[151])).
% fof(542, plain,![X2]:![X3]:((~(s__WaterArea(X2))|~(s__City(X3)))|(~(s__orientation(X3,X2,s__Near))|s__capability(s__Flooding__t,s__located__m,X3))),inference(fof_nnf,[status(thm)],[172])).
% fof(543, plain,![X4]:![X5]:((~(s__WaterArea(X4))|~(s__City(X5)))|(~(s__orientation(X5,X4,s__Near))|s__capability(s__Flooding__t,s__located__m,X5))),inference(variable_rename,[status(thm)],[542])).
% cnf(544,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)],[543])).
% cnf(566,plain,(capital_city(s__Copenhagen,s__Denmark)),inference(split_conjunct,[status(thm)],[184])).
% cnf(575,plain,(latlong(s__Moscow,'55.75695','37.614975',moscow,ru)),inference(split_conjunct,[status(thm)],[193])).
% cnf(576,plain,(is_instance(s__Copenhagen,s__CoastalCitiesClass)),inference(split_conjunct,[status(thm)],[194])).
% cnf(578,plain,(s__Nation(s__Denmark)),inference(split_conjunct,[status(thm)],[196])).
% cnf(609,plain,(s__City(s__Copenhagen)),inference(split_conjunct,[status(thm)],[227])).
% fof(618, plain,![X1]:(~(s__GeographicArea(X1))|s__Region(X1)),inference(fof_nnf,[status(thm)],[236])).
% fof(619, plain,![X2]:(~(s__GeographicArea(X2))|s__Region(X2)),inference(variable_rename,[status(thm)],[618])).
% cnf(620,plain,(s__Region(X1)|~s__GeographicArea(X1)),inference(split_conjunct,[status(thm)],[619])).
% fof(624, plain,![X1]:(~(s__BodyOfWater(X1))|s__WaterArea(X1)),inference(fof_nnf,[status(thm)],[238])).
% fof(625, plain,![X2]:(~(s__BodyOfWater(X2))|s__WaterArea(X2)),inference(variable_rename,[status(thm)],[624])).
% cnf(626,plain,(s__WaterArea(X1)|~s__BodyOfWater(X1)),inference(split_conjunct,[status(thm)],[625])).
% fof(631, plain,![X4]:(~(s__City(X4))|(~(is_instance(X4,s__CoastalCitiesClass))|?[X5]:(s__Sea(X5)&s__orientation(X4,X5,s__Near)))),inference(fof_nnf,[status(thm)],[241])).
% fof(632, plain,![X6]:(~(s__City(X6))|(~(is_instance(X6,s__CoastalCitiesClass))|?[X7]:(s__Sea(X7)&s__orientation(X6,X7,s__Near)))),inference(variable_rename,[status(thm)],[631])).
% fof(633, plain,![X6]:(~(s__City(X6))|(~(is_instance(X6,s__CoastalCitiesClass))|(s__Sea(esk17_1(X6))&s__orientation(X6,esk17_1(X6),s__Near)))),inference(skolemize,[status(esa)],[632])).
% fof(634, plain,![X6]:(((s__Sea(esk17_1(X6))|~(is_instance(X6,s__CoastalCitiesClass)))|~(s__City(X6)))&((s__orientation(X6,esk17_1(X6),s__Near)|~(is_instance(X6,s__CoastalCitiesClass)))|~(s__City(X6)))),inference(distribute,[status(thm)],[633])).
% cnf(635,plain,(s__orientation(X1,esk17_1(X1),s__Near)|~s__City(X1)|~is_instance(X1,s__CoastalCitiesClass)),inference(split_conjunct,[status(thm)],[634])).
% cnf(636,plain,(s__Sea(esk17_1(X1))|~s__City(X1)|~is_instance(X1,s__CoastalCitiesClass)),inference(split_conjunct,[status(thm)],[634])).
% fof(661, plain,![X1]:(~(s__City(X1))|s__GeopoliticalArea(X1)),inference(fof_nnf,[status(thm)],[250])).
% fof(662, plain,![X2]:(~(s__City(X2))|s__GeopoliticalArea(X2)),inference(variable_rename,[status(thm)],[661])).
% cnf(663,plain,(s__GeopoliticalArea(X1)|~s__City(X1)),inference(split_conjunct,[status(thm)],[662])).
% fof(664, plain,![X1]:(~(s__GeopoliticalArea(X1))|s__GeographicArea(X1)),inference(fof_nnf,[status(thm)],[251])).
% fof(665, plain,![X2]:(~(s__GeopoliticalArea(X2))|s__GeographicArea(X2)),inference(variable_rename,[status(thm)],[664])).
% cnf(666,plain,(s__GeographicArea(X1)|~s__GeopoliticalArea(X1)),inference(split_conjunct,[status(thm)],[665])).
% fof(667, plain,![X1]:(~(s__Nation(X1))|s__GeopoliticalArea(X1)),inference(fof_nnf,[status(thm)],[252])).
% fof(668, plain,![X2]:(~(s__Nation(X2))|s__GeopoliticalArea(X2)),inference(variable_rename,[status(thm)],[667])).
% cnf(669,plain,(s__GeopoliticalArea(X1)|~s__Nation(X1)),inference(split_conjunct,[status(thm)],[668])).
% fof(670, plain,![X1]:(~(s__Sea(X1))|s__BodyOfWater(X1)),inference(fof_nnf,[status(thm)],[253])).
% fof(671, plain,![X2]:(~(s__Sea(X2))|s__BodyOfWater(X2)),inference(variable_rename,[status(thm)],[670])).
% cnf(672,plain,(s__BodyOfWater(X1)|~s__Sea(X1)),inference(split_conjunct,[status(thm)],[671])).
% cnf(679,plain,(latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk)),inference(split_conjunct,[status(thm)],[260])).
% fof(688, negated_conjecture,![X4]:![X6]:![X7]:![X8]:![X9]:![X10]:![X11]:![X12]:![X13]:![X14]:![X15]:(((((((((((((((((~(s__Object(X4))|~(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(X4,X6)))|~(look_different(X4,s__Moscow)))|~(latlong(X4,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,X4))),inference(fof_nnf,[status(thm)],[270])).
% fof(689, 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(variable_rename,[status(thm)],[688])).
% cnf(690,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)],[689])).
% fof(691, plain,(~(epred1_0)<=>![X6]:![X3]:![X5]:![X4]:![X7]:![X2]:![X8]:![X1]:![X9]:![X10]:((((((((((((((((~(to_int(X2)=to_int(X3))|~(latlong(s__Moscow,X3,X4,X5,X6)))|~(latlong(X1,X2,X7,X8,X9)))|~(capital_city(X1,X10)))|~(s__capability(s__Flooding__t,s__located__m,X1)))|~(is_instance(X10,s__OECDMemberEconomiesClass)))|~(look_different(X1,s__Moscow)))|~(real(X2)))|~(real(X3)))|~(real(X4)))|~(real(X7)))|~(s__SymbolicString(X5)))|~(s__SymbolicString(X6)))|~(s__SymbolicString(X8)))|~(s__SymbolicString(X9)))|~(s__Object(X1)))|~(s__Object(X10)))),introduced(definition),['split']).
% cnf(692,plain,(epred1_0|~s__Object(X1)|~s__Object(X10)|~s__SymbolicString(X5)|~s__SymbolicString(X6)|~s__SymbolicString(X8)|~s__SymbolicString(X9)|~real(X2)|~real(X3)|~real(X4)|~real(X7)|~look_different(X1,s__Moscow)|~is_instance(X10,s__OECDMemberEconomiesClass)|~s__capability(s__Flooding__t,s__located__m,X1)|~capital_city(X1,X10)|~latlong(X1,X2,X7,X8,X9)|~latlong(s__Moscow,X3,X4,X5,X6)|to_int(X2)!=to_int(X3)),inference(split_equiv,[status(thm)],[691])).
% fof(693, plain,(~(epred2_0)<=>![X11]:~(int(X11))),introduced(definition),['split']).
% cnf(694,plain,(epred2_0|~int(X11)),inference(split_equiv,[status(thm)],[693])).
% cnf(695,negated_conjecture,(~epred2_0|~epred1_0),inference(apply_def,[status(esa)],[inference(apply_def,[status(esa)],[690,691,theory(equality)]),693,theory(equality)]),['split']).
% cnf(696,negated_conjecture,(epred2_0),inference(spm,[status(thm)],[694,445,theory(equality)])).
% cnf(895,plain,(s__Region(X1)|~s__GeopoliticalArea(X1)),inference(spm,[status(thm)],[620,666,theory(equality)])).
% cnf(896,plain,(s__BodyOfWater(esk17_1(X1))|~s__City(X1)|~is_instance(X1,s__CoastalCitiesClass)),inference(spm,[status(thm)],[672,636,theory(equality)])).
% cnf(897,plain,(s__capability(s__Flooding__t,s__located__m,X1)|~s__WaterArea(esk17_1(X1))|~s__City(X1)|~is_instance(X1,s__CoastalCitiesClass)),inference(spm,[status(thm)],[544,635,theory(equality)])).
% cnf(898,negated_conjecture,(epred1_0|to_int(X1)!=to_int('55.75695')|~latlong(X2,X1,X3,X4,X5)|~capital_city(X2,X6)|~s__capability(s__Flooding__t,s__located__m,X2)|~is_instance(X6,s__OECDMemberEconomiesClass)|~look_different(X2,s__Moscow)|~real(X1)|~real('55.75695')|~real('37.614975')|~real(X3)|~s__SymbolicString(moscow)|~s__SymbolicString(ru)|~s__SymbolicString(X4)|~s__SymbolicString(X5)|~s__Object(X2)|~s__Object(X6)),inference(spm,[status(thm)],[692,575,theory(equality)])).
% cnf(899,negated_conjecture,(epred1_0|to_int(X1)!='55'|~latlong(X2,X1,X3,X4,X5)|~capital_city(X2,X6)|~s__capability(s__Flooding__t,s__located__m,X2)|~is_instance(X6,s__OECDMemberEconomiesClass)|~look_different(X2,s__Moscow)|~real(X1)|~real('55.75695')|~real('37.614975')|~real(X3)|~s__SymbolicString(moscow)|~s__SymbolicString(ru)|~s__SymbolicString(X4)|~s__SymbolicString(X5)|~s__Object(X2)|~s__Object(X6)),inference(rw,[status(thm)],[898,431,theory(equality)])).
% cnf(900,negated_conjecture,(epred1_0|to_int(X1)!='55'|~latlong(X2,X1,X3,X4,X5)|~capital_city(X2,X6)|~s__capability(s__Flooding__t,s__located__m,X2)|~is_instance(X6,s__OECDMemberEconomiesClass)|~look_different(X2,s__Moscow)|~real(X1)|$false|~real('37.614975')|~real(X3)|~s__SymbolicString(moscow)|~s__SymbolicString(ru)|~s__SymbolicString(X4)|~s__SymbolicString(X5)|~s__Object(X2)|~s__Object(X6)),inference(rw,[status(thm)],[899,518,theory(equality)])).
% cnf(901,negated_conjecture,(epred1_0|to_int(X1)!='55'|~latlong(X2,X1,X3,X4,X5)|~capital_city(X2,X6)|~s__capability(s__Flooding__t,s__located__m,X2)|~is_instance(X6,s__OECDMemberEconomiesClass)|~look_different(X2,s__Moscow)|~real(X1)|$false|$false|~real(X3)|~s__SymbolicString(moscow)|~s__SymbolicString(ru)|~s__SymbolicString(X4)|~s__SymbolicString(X5)|~s__Object(X2)|~s__Object(X6)),inference(rw,[status(thm)],[900,519,theory(equality)])).
% cnf(902,negated_conjecture,(epred1_0|to_int(X1)!='55'|~latlong(X2,X1,X3,X4,X5)|~capital_city(X2,X6)|~s__capability(s__Flooding__t,s__located__m,X2)|~is_instance(X6,s__OECDMemberEconomiesClass)|~look_different(X2,s__Moscow)|~real(X1)|$false|$false|~real(X3)|$false|~s__SymbolicString(ru)|~s__SymbolicString(X4)|~s__SymbolicString(X5)|~s__Object(X2)|~s__Object(X6)),inference(rw,[status(thm)],[901,520,theory(equality)])).
% cnf(903,negated_conjecture,(epred1_0|to_int(X1)!='55'|~latlong(X2,X1,X3,X4,X5)|~capital_city(X2,X6)|~s__capability(s__Flooding__t,s__located__m,X2)|~is_instance(X6,s__OECDMemberEconomiesClass)|~look_different(X2,s__Moscow)|~real(X1)|$false|$false|~real(X3)|$false|$false|~s__SymbolicString(X4)|~s__SymbolicString(X5)|~s__Object(X2)|~s__Object(X6)),inference(rw,[status(thm)],[902,521,theory(equality)])).
% cnf(904,negated_conjecture,(epred1_0|to_int(X1)!='55'|~latlong(X2,X1,X3,X4,X5)|~capital_city(X2,X6)|~s__capability(s__Flooding__t,s__located__m,X2)|~is_instance(X6,s__OECDMemberEconomiesClass)|~look_different(X2,s__Moscow)|~real(X1)|~real(X3)|~s__SymbolicString(X4)|~s__SymbolicString(X5)|~s__Object(X2)|~s__Object(X6)),inference(cn,[status(thm)],[903,theory(equality)])).
% cnf(908,negated_conjecture,($false|~epred1_0),inference(rw,[status(thm)],[695,696,theory(equality)])).
% cnf(909,negated_conjecture,(~epred1_0),inference(cn,[status(thm)],[908,theory(equality)])).
% cnf(937,plain,(s__Object(X1)|~s__GeopoliticalArea(X1)),inference(spm,[status(thm)],[414,895,theory(equality)])).
% cnf(939,plain,(s__Object(X1)|~s__City(X1)),inference(spm,[status(thm)],[937,663,theory(equality)])).
% cnf(940,plain,(s__Object(X1)|~s__Nation(X1)),inference(spm,[status(thm)],[937,669,theory(equality)])).
% cnf(954,plain,(s__WaterArea(esk17_1(X1))|~s__City(X1)|~is_instance(X1,s__CoastalCitiesClass)),inference(spm,[status(thm)],[626,896,theory(equality)])).
% cnf(959,plain,(s__capability(s__Flooding__t,s__located__m,X1)|~s__City(X1)|~is_instance(X1,s__CoastalCitiesClass)),inference(csr,[status(thm)],[897,954])).
% cnf(960,negated_conjecture,(to_int(X1)!='55'|~latlong(X2,X1,X3,X4,X5)|~capital_city(X2,X6)|~s__capability(s__Flooding__t,s__located__m,X2)|~is_instance(X6,s__OECDMemberEconomiesClass)|~look_different(X2,s__Moscow)|~real(X1)|~real(X3)|~s__SymbolicString(X4)|~s__SymbolicString(X5)|~s__Object(X2)|~s__Object(X6)),inference(sr,[status(thm)],[904,909,theory(equality)])).
% cnf(969,negated_conjecture,(to_int('55.67631')!='55'|~capital_city(s__Copenhagen,X1)|~s__capability(s__Flooding__t,s__located__m,s__Copenhagen)|~is_instance(X1,s__OECDMemberEconomiesClass)|~look_different(s__Copenhagen,s__Moscow)|~real('55.67631')|~real('12.569355')|~s__SymbolicString(copenhagen)|~s__SymbolicString(dk)|~s__Object(s__Copenhagen)|~s__Object(X1)),inference(spm,[status(thm)],[960,679,theory(equality)])).
% cnf(1033,negated_conjecture,($false|~capital_city(s__Copenhagen,X1)|~s__capability(s__Flooding__t,s__located__m,s__Copenhagen)|~is_instance(X1,s__OECDMemberEconomiesClass)|~look_different(s__Copenhagen,s__Moscow)|~real('55.67631')|~real('12.569355')|~s__SymbolicString(copenhagen)|~s__SymbolicString(dk)|~s__Object(s__Copenhagen)|~s__Object(X1)),inference(rw,[status(thm)],[969,430,theory(equality)])).
% cnf(1034,negated_conjecture,($false|~capital_city(s__Copenhagen,X1)|~s__capability(s__Flooding__t,s__located__m,s__Copenhagen)|~is_instance(X1,s__OECDMemberEconomiesClass)|$false|~real('55.67631')|~real('12.569355')|~s__SymbolicString(copenhagen)|~s__SymbolicString(dk)|~s__Object(s__Copenhagen)|~s__Object(X1)),inference(rw,[status(thm)],[1033,341,theory(equality)])).
% cnf(1035,negated_conjecture,($false|~capital_city(s__Copenhagen,X1)|~s__capability(s__Flooding__t,s__located__m,s__Copenhagen)|~is_instance(X1,s__OECDMemberEconomiesClass)|$false|$false|~real('12.569355')|~s__SymbolicString(copenhagen)|~s__SymbolicString(dk)|~s__Object(s__Copenhagen)|~s__Object(X1)),inference(rw,[status(thm)],[1034,502,theory(equality)])).
% cnf(1036,negated_conjecture,($false|~capital_city(s__Copenhagen,X1)|~s__capability(s__Flooding__t,s__located__m,s__Copenhagen)|~is_instance(X1,s__OECDMemberEconomiesClass)|$false|$false|$false|~s__SymbolicString(copenhagen)|~s__SymbolicString(dk)|~s__Object(s__Copenhagen)|~s__Object(X1)),inference(rw,[status(thm)],[1035,503,theory(equality)])).
% cnf(1037,negated_conjecture,($false|~capital_city(s__Copenhagen,X1)|~s__capability(s__Flooding__t,s__located__m,s__Copenhagen)|~is_instance(X1,s__OECDMemberEconomiesClass)|$false|$false|$false|$false|~s__SymbolicString(dk)|~s__Object(s__Copenhagen)|~s__Object(X1)),inference(rw,[status(thm)],[1036,504,theory(equality)])).
% cnf(1038,negated_conjecture,($false|~capital_city(s__Copenhagen,X1)|~s__capability(s__Flooding__t,s__located__m,s__Copenhagen)|~is_instance(X1,s__OECDMemberEconomiesClass)|$false|$false|$false|$false|$false|~s__Object(s__Copenhagen)|~s__Object(X1)),inference(rw,[status(thm)],[1037,505,theory(equality)])).
% cnf(1039,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~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)],[1038,theory(equality)])).
% cnf(1388,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~is_instance(X1,s__OECDMemberEconomiesClass)|~s__Object(s__Copenhagen)|~s__Object(X1)|~s__City(s__Copenhagen)|~is_instance(s__Copenhagen,s__CoastalCitiesClass)),inference(spm,[status(thm)],[1039,959,theory(equality)])).
% cnf(1389,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~is_instance(X1,s__OECDMemberEconomiesClass)|~s__Object(s__Copenhagen)|~s__Object(X1)|$false|~is_instance(s__Copenhagen,s__CoastalCitiesClass)),inference(rw,[status(thm)],[1388,609,theory(equality)])).
% cnf(1390,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~is_instance(X1,s__OECDMemberEconomiesClass)|~s__Object(s__Copenhagen)|~s__Object(X1)|$false|$false),inference(rw,[status(thm)],[1389,576,theory(equality)])).
% cnf(1391,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~is_instance(X1,s__OECDMemberEconomiesClass)|~s__Object(s__Copenhagen)|~s__Object(X1)),inference(cn,[status(thm)],[1390,theory(equality)])).
% cnf(1446,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~is_instance(X1,s__OECDMemberEconomiesClass)|~s__Object(X1)|~s__City(s__Copenhagen)),inference(spm,[status(thm)],[1391,939,theory(equality)])).
% cnf(1448,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~is_instance(X1,s__OECDMemberEconomiesClass)|~s__Object(X1)|$false),inference(rw,[status(thm)],[1446,609,theory(equality)])).
% cnf(1449,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~is_instance(X1,s__OECDMemberEconomiesClass)|~s__Object(X1)),inference(cn,[status(thm)],[1448,theory(equality)])).
% cnf(1460,negated_conjecture,(~capital_city(s__Copenhagen,X1)|~is_instance(X1,s__OECDMemberEconomiesClass)|~s__Nation(X1)),inference(spm,[status(thm)],[1449,940,theory(equality)])).
% cnf(1470,negated_conjecture,(~s__Nation(s__Denmark)|~is_instance(s__Denmark,s__OECDMemberEconomiesClass)),inference(spm,[status(thm)],[1460,566,theory(equality)])).
% cnf(1471,negated_conjecture,($false|~is_instance(s__Denmark,s__OECDMemberEconomiesClass)),inference(rw,[status(thm)],[1470,578,theory(equality)])).
% cnf(1472,negated_conjecture,($false|$false),inference(rw,[status(thm)],[1471,351,theory(equality)])).
% cnf(1473,negated_conjecture,($false),inference(cn,[status(thm)],[1472,theory(equality)])).
% cnf(1474,negated_conjecture,($false),1473,['proof']).
% # SZS output end CNFRefutation
% # Processed clauses : 946
% # ...of these trivial : 0
% # ...subsumed : 64
% # ...remaining for further processing: 882
% # Other redundant clauses eliminated : 0
% # Clauses deleted for lack of memory : 0
% # Backward-subsumed : 2
% # Backward-rewritten : 2
% # Generated clauses : 449
% # ...of the previous two non-trivial : 433
% # Contextual simplify-reflections : 1
% # Paramodulations : 446
% # Factorizations : 0
% # Equation resolutions : 0
% # Current number of processed clauses: 605
% # Positive orientable unit clauses: 237
% # Positive unorientable unit clauses: 0
% # Negative unit clauses : 274
% # Non-unit-clauses : 94
% # Current number of unprocessed clauses: 17
% # ...number of literals in the above : 97
% # Clause-clause subsumption calls (NU) : 6365
% # Rec. Clause-clause subsumption calls : 2077
% # Unit Clause-clause subsumption calls : 14605
% # Rewrite failures with RHS unbound : 0
% # Indexed BW rewrite attempts : 1
% # Indexed BW rewrite successes : 1
% # Backwards rewriting index: 731 leaves, 1.04+/-0.570 terms/leaf
% # Paramod-from index: 248 leaves, 1.00+/-0.000 terms/leaf
% # Paramod-into index: 693 leaves, 1.02+/-0.456 terms/leaf
% # -------------------------------------------------
% # User time : 0.069 s
% # System time : 0.005 s
% # Total time : 0.074 s
% # Maximum resident set size: 0 pages
% PrfWatch: 0.17 CPU 0.25 WC
% FINAL PrfWatch: 0.17 CPU 0.25 WC
% SZS output end Solution for /tmp/SystemOnTPTP568/CSR117+1.tptp
%
%------------------------------------------------------------------------------