%------------------------------------------------------------------------------
% File : Vampire-SAT---5.0.1
% Problem : CSR117+1 : TPTP v9.3.1. Released v4.1.0.
% Transfm : none
% Format : tptp:raw
% Command : run_vampire /export/starexec/sandbox/benchmark/theBenchmark.p 300 SAT
% Computer : n002.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8046.5625MB
% OS : Linux 6.8.0-71-generic
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Tue Sep 29 09:45:54 AM UTC 2026
% Result : Theorem 0.16s 0.28s
% Output : Refutation 0.16s
% Verified :
% SZS Type : Refutation
% Derivation depth : 18
% Number of leaves : 33
% Syntax : Number of formulae : 125 ( 47 unt; 4 def)
% Number of atoms : 559 ( 29 equ)
% Maximal formula atoms : 21 ( 4 avg)
% Number of connectives : 852 ( 418 ~; 381 |; 38 &)
% ( 4 <=>; 11 =>; 0 <=; 0 <~>)
% Maximal formula depth : 32 ( 7 avg)
% Maximal term depth : 2 ( 1 avg)
% Number of predicates : 24 ( 22 usr; 5 prp; 0-5 aty)
% Number of functors : 20 ( 20 usr; 18 con; 0-1 aty)
% Number of variables : 249 ( 0 sgn 224 !; 25 ?)
% Comments :
%------------------------------------------------------------------------------
fof(f15,axiom,
! [X0] :
( s__Region(X0)
=> s__Object(X0) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_701) ).
fof(f16,axiom,
! [X0] :
( s__GeographicArea(X0)
=> s__Region(X0) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6365) ).
fof(f17,axiom,
! [X0] :
( s__GeopoliticalArea(X0)
=> s__GeographicArea(X0) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6345) ).
fof(f18,axiom,
! [X0] :
( s__Nation(X0)
=> s__GeopoliticalArea(X0) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6428) ).
fof(f19,axiom,
! [X0] :
( s__City(X0)
=> s__GeopoliticalArea(X0) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_6437) ).
fof(f21,axiom,
! [X0] :
( s__BodyOfWater(X0)
=> s__WaterArea(X0) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_Domains_9582) ).
fof(f22,axiom,
! [X0] :
( s__Sea(X0)
=> s__BodyOfWater(X0) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',kb_SUMO_MILO_Domains_9679) ).
fof(f27,axiom,
! [X0] :
( s__City(X0)
=> ( is_instance(X0,s__CoastalCitiesClass)
=> ? [X1] :
( s__Sea(X1)
& s__orientation(X0,X1,s__Near) ) ) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',coastal_cities_near_water) ).
fof(f28,axiom,
! [X0,X1] :
( ( s__WaterArea(X0)
& s__City(X1) )
=> ( s__orientation(X1,X0,s__Near)
=> s__capability(s__Flooding__t,s__located__m,X1) ) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',flood_near_water) ).
fof(f29,conjecture,
? [X0,X1,X2,X3,X4,X5,X6,X7,X8,X9,X10] :
( s__Object(X0)
& s__Object(X1)
& real(X2)
& real(X3)
& s__SymbolicString(X4)
& s__SymbolicString(X5)
& int(X6)
& real(X7)
& real(X8)
& s__SymbolicString(X9)
& s__SymbolicString(X10)
& is_instance(X1,s__OECDMemberEconomiesClass)
& capital_city(X0,X1)
& look_different(X0,s__Moscow)
& latlong(X0,X2,X3,X4,X5)
& latlong(s__Moscow,X7,X8,X9,X10)
& to_int(X2) = to_int(X7)
& s__capability(s__Flooding__t,s__located__m,X0) ),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',where) ).
fof(f30,negated_conjecture,
~ ? [X0,X1,X2,X3,X4,X5,X6,X7,X8,X9,X10] :
( s__Object(X0)
& s__Object(X1)
& real(X2)
& real(X3)
& s__SymbolicString(X4)
& s__SymbolicString(X5)
& int(X6)
& real(X7)
& real(X8)
& s__SymbolicString(X9)
& s__SymbolicString(X10)
& is_instance(X1,s__OECDMemberEconomiesClass)
& capital_city(X0,X1)
& look_different(X0,s__Moscow)
& latlong(X0,X2,X3,X4,X5)
& latlong(s__Moscow,X7,X8,X9,X10)
& to_int(X2) = to_int(X7)
& s__capability(s__Flooding__t,s__located__m,X0) ),
inference(negated_conjecture,[status(cth)],[f29]) ).
fof(f35,axiom,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_coastal) ).
fof(f40,axiom,
s__Nation(s__Denmark),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Denmark_type) ).
fof(f41,axiom,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Denmark_OECD) ).
fof(f102,axiom,
s__City(s__Copenhagen),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_type) ).
fof(f103,axiom,
capital_city(s__Copenhagen,s__Denmark),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_s__Denmark) ).
fof(f150,axiom,
real('55.67631'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_lat_type) ).
fof(f151,axiom,
real('12.569355'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_long_type) ).
fof(f152,axiom,
s__SymbolicString(copenhagen),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',copenhagen_type) ).
fof(f153,axiom,
s__SymbolicString(dk),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',dk_type) ).
fof(f154,axiom,
latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',latlong_s__Copenhagen) ).
fof(f170,axiom,
real('55.75695'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_lat_type) ).
fof(f171,axiom,
real('37.614975'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_long_type) ).
fof(f172,axiom,
s__SymbolicString(moscow),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',moscow_type) ).
fof(f173,axiom,
s__SymbolicString(ru),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',ru_type) ).
fof(f174,axiom,
latlong(s__Moscow,'55.75695','37.614975',moscow,ru),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',latlong_s__Moscow) ).
fof(f206,axiom,
look_different(s__Copenhagen,s__Moscow),
file('/export/starexec/sandbox/benchmark/theBenchmark.p',s__Copenhagen_not_s__Moscow) ).
fof(f215,axiom,
int('-35'),
file('/export/starexec/sandbox/benchmark/theBenchmark.p','-35_type') ).
fof(f237,axiom,
to_int('55.67631') = '55',
file('/export/starexec/sandbox/benchmark/theBenchmark.p','55.67631_55') ).
fof(f238,axiom,
to_int('55.75695') = '55',
file('/export/starexec/sandbox/benchmark/theBenchmark.p','55.75695_55') ).
fof(f271,plain,
! [X0] :
( s__Object(X0)
| ~ s__Region(X0) ),
inference(ennf_transformation,[],[f15]) ).
fof(f272,plain,
! [X0] :
( s__Region(X0)
| ~ s__GeographicArea(X0) ),
inference(ennf_transformation,[],[f16]) ).
fof(f273,plain,
! [X0] :
( s__GeographicArea(X0)
| ~ s__GeopoliticalArea(X0) ),
inference(ennf_transformation,[],[f17]) ).
fof(f274,plain,
! [X0] :
( s__GeopoliticalArea(X0)
| ~ s__Nation(X0) ),
inference(ennf_transformation,[],[f18]) ).
fof(f275,plain,
! [X0] :
( s__GeopoliticalArea(X0)
| ~ s__City(X0) ),
inference(ennf_transformation,[],[f19]) ).
fof(f277,plain,
! [X0] :
( s__WaterArea(X0)
| ~ s__BodyOfWater(X0) ),
inference(ennf_transformation,[],[f21]) ).
fof(f278,plain,
! [X0] :
( s__BodyOfWater(X0)
| ~ s__Sea(X0) ),
inference(ennf_transformation,[],[f22]) ).
fof(f280,plain,
! [X0] :
( ? [X1] :
( s__Sea(X1)
& s__orientation(X0,X1,s__Near) )
| ~ is_instance(X0,s__CoastalCitiesClass)
| ~ s__City(X0) ),
inference(ennf_transformation,[],[f27]) ).
fof(f281,plain,
! [X0] :
( ? [X1] :
( s__Sea(X1)
& s__orientation(X0,X1,s__Near) )
| ~ is_instance(X0,s__CoastalCitiesClass)
| ~ s__City(X0) ),
inference(flattening,[],[f280]) ).
fof(f282,plain,
! [X0,X1] :
( s__capability(s__Flooding__t,s__located__m,X1)
| ~ s__orientation(X1,X0,s__Near)
| ~ s__WaterArea(X0)
| ~ s__City(X1) ),
inference(ennf_transformation,[],[f28]) ).
fof(f283,plain,
! [X0,X1] :
( s__capability(s__Flooding__t,s__located__m,X1)
| ~ s__orientation(X1,X0,s__Near)
| ~ s__WaterArea(X0)
| ~ s__City(X1) ),
inference(flattening,[],[f282]) ).
fof(f284,plain,
! [X0,X1,X2,X3,X4,X5,X6,X7,X8,X9,X10] :
( ~ s__Object(X0)
| ~ s__Object(X1)
| ~ real(X2)
| ~ real(X3)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ int(X6)
| ~ real(X7)
| ~ real(X8)
| ~ s__SymbolicString(X9)
| ~ s__SymbolicString(X10)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X1)
| ~ look_different(X0,s__Moscow)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ latlong(s__Moscow,X7,X8,X9,X10)
| to_int(X2) != to_int(X7)
| ~ s__capability(s__Flooding__t,s__located__m,X0) ),
inference(ennf_transformation,[],[f30]) ).
fof(f330,plain,
! [X0] :
( ~ s__Region(X0)
| s__Object(X0) ),
inference(cnf_transformation,[],[f271]) ).
fof(f331,plain,
! [X0] :
( ~ s__GeographicArea(X0)
| s__Region(X0) ),
inference(cnf_transformation,[],[f272]) ).
fof(f332,plain,
! [X0] :
( s__GeographicArea(X0)
| ~ s__GeopoliticalArea(X0) ),
inference(cnf_transformation,[],[f273]) ).
fof(f333,plain,
! [X0] :
( s__GeopoliticalArea(X0)
| ~ s__Nation(X0) ),
inference(cnf_transformation,[],[f274]) ).
fof(f334,plain,
! [X0] :
( s__GeopoliticalArea(X0)
| ~ s__City(X0) ),
inference(cnf_transformation,[],[f275]) ).
fof(f336,plain,
! [X0] :
( ~ s__BodyOfWater(X0)
| s__WaterArea(X0) ),
inference(cnf_transformation,[],[f277]) ).
fof(f337,plain,
! [X0] :
( ~ s__Sea(X0)
| s__BodyOfWater(X0) ),
inference(cnf_transformation,[],[f278]) ).
fof(f342,plain,
! [X0] :
( s__orientation(X0,sK14(X0),s__Near)
| ~ is_instance(X0,s__CoastalCitiesClass)
| ~ s__City(X0) ),
inference(cnf_transformation,[],[f281]) ).
fof(f343,plain,
! [X0] :
( s__Sea(sK14(X0))
| ~ is_instance(X0,s__CoastalCitiesClass)
| ~ s__City(X0) ),
inference(cnf_transformation,[],[f281]) ).
fof(f344,plain,
! [X0,X1] :
( s__capability(s__Flooding__t,s__located__m,X1)
| ~ s__WaterArea(X0)
| ~ s__orientation(X1,X0,s__Near)
| ~ s__City(X1) ),
inference(cnf_transformation,[],[f283]) ).
fof(f345,plain,
! [X2,X3,X10,X0,X1,X8,X6,X9,X7,X4,X5] :
( ~ s__capability(s__Flooding__t,s__located__m,X0)
| to_int(X2) != to_int(X7)
| ~ latlong(s__Moscow,X7,X8,X9,X10)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ look_different(X0,s__Moscow)
| ~ capital_city(X0,X1)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ s__SymbolicString(X10)
| ~ s__SymbolicString(X9)
| ~ real(X8)
| ~ real(X7)
| ~ int(X6)
| ~ s__SymbolicString(X5)
| ~ s__SymbolicString(X4)
| ~ real(X3)
| ~ real(X2)
| ~ s__Object(X1)
| ~ s__Object(X0) ),
inference(cnf_transformation,[],[f284]) ).
fof(f350,plain,
is_instance(s__Copenhagen,s__CoastalCitiesClass),
inference(cnf_transformation,[],[f35]) ).
fof(f355,plain,
s__Nation(s__Denmark),
inference(cnf_transformation,[],[f40]) ).
fof(f356,plain,
is_instance(s__Denmark,s__OECDMemberEconomiesClass),
inference(cnf_transformation,[],[f41]) ).
fof(f417,plain,
s__City(s__Copenhagen),
inference(cnf_transformation,[],[f102]) ).
fof(f418,plain,
capital_city(s__Copenhagen,s__Denmark),
inference(cnf_transformation,[],[f103]) ).
fof(f465,plain,
real('55.67631'),
inference(cnf_transformation,[],[f150]) ).
fof(f466,plain,
real('12.569355'),
inference(cnf_transformation,[],[f151]) ).
fof(f467,plain,
s__SymbolicString(copenhagen),
inference(cnf_transformation,[],[f152]) ).
fof(f468,plain,
s__SymbolicString(dk),
inference(cnf_transformation,[],[f153]) ).
fof(f469,plain,
latlong(s__Copenhagen,'55.67631','12.569355',copenhagen,dk),
inference(cnf_transformation,[],[f154]) ).
fof(f485,plain,
real('55.75695'),
inference(cnf_transformation,[],[f170]) ).
fof(f486,plain,
real('37.614975'),
inference(cnf_transformation,[],[f171]) ).
fof(f487,plain,
s__SymbolicString(moscow),
inference(cnf_transformation,[],[f172]) ).
fof(f488,plain,
s__SymbolicString(ru),
inference(cnf_transformation,[],[f173]) ).
fof(f489,plain,
latlong(s__Moscow,'55.75695','37.614975',moscow,ru),
inference(cnf_transformation,[],[f174]) ).
fof(f521,plain,
look_different(s__Copenhagen,s__Moscow),
inference(cnf_transformation,[],[f206]) ).
fof(f530,plain,
int('-35'),
inference(cnf_transformation,[],[f215]) ).
fof(f552,plain,
'55' = to_int('55.67631'),
inference(cnf_transformation,[],[f237]) ).
fof(f553,plain,
'55' = to_int('55.75695'),
inference(cnf_transformation,[],[f238]) ).
fof(f587,definition,
( spl17_1
<=> ! [X6] : ~ int(X6) ),
introduced(definition,[new_symbols(definition,[spl17_1])],[avatar_definition]) ).
fof(f588,plain,
( ! [X6] : ~ int(X6)
| ~ spl17_1 ),
inference(avatar_component_clause,[],[f587]) ).
fof(f590,definition,
( spl17_2
<=> ! [X2,X3,X10,X0,X1,X8,X9,X7,X4,X5] :
( ~ s__capability(s__Flooding__t,s__located__m,X0)
| ~ s__Object(X0)
| ~ s__Object(X1)
| ~ real(X2)
| ~ real(X3)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ real(X7)
| ~ real(X8)
| ~ s__SymbolicString(X9)
| ~ s__SymbolicString(X10)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X1)
| ~ look_different(X0,s__Moscow)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ latlong(s__Moscow,X7,X8,X9,X10)
| to_int(X2) != to_int(X7) ) ),
introduced(definition,[new_symbols(definition,[spl17_2])],[avatar_definition]) ).
fof(f591,plain,
( ! [X2,X3,X10,X0,X1,X8,X9,X7,X4,X5] :
( ~ s__capability(s__Flooding__t,s__located__m,X0)
| ~ s__Object(X0)
| ~ s__Object(X1)
| ~ real(X2)
| ~ real(X3)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ real(X7)
| ~ real(X8)
| ~ s__SymbolicString(X9)
| ~ s__SymbolicString(X10)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X1)
| ~ look_different(X0,s__Moscow)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ latlong(s__Moscow,X7,X8,X9,X10)
| to_int(X2) != to_int(X7) )
| ~ spl17_2 ),
inference(avatar_component_clause,[],[f590]) ).
fof(f592,plain,
( spl17_1
| spl17_2 ),
inference(avatar_split_clause,[],[f345,f590,f587]) ).
fof(f594,plain,
! [X0] :
( s__Region(X0)
| ~ s__GeopoliticalArea(X0) ),
inference(resolution,[],[f332,f331]) ).
fof(f748,plain,
! [X0] :
( s__BodyOfWater(sK14(X0))
| ~ s__City(X0)
| ~ is_instance(X0,s__CoastalCitiesClass) ),
inference(resolution,[],[f343,f337]) ).
fof(f749,plain,
( ! [X2,X3,X10,X0,X1,X8,X6,X9,X7,X4,X5] :
( ~ s__orientation(X1,X0,s__Near)
| ~ s__WaterArea(X0)
| ~ s__City(X1)
| ~ s__Object(X1)
| ~ s__Object(X2)
| ~ real(X3)
| ~ real(X4)
| ~ s__SymbolicString(X5)
| ~ s__SymbolicString(X6)
| ~ real(X7)
| ~ real(X8)
| ~ s__SymbolicString(X9)
| ~ s__SymbolicString(X10)
| ~ is_instance(X2,s__OECDMemberEconomiesClass)
| ~ capital_city(X1,X2)
| ~ look_different(X1,s__Moscow)
| ~ latlong(X1,X3,X4,X5,X6)
| ~ latlong(s__Moscow,X7,X8,X9,X10)
| to_int(X7) != to_int(X3) )
| ~ spl17_2 ),
inference(resolution,[],[f344,f591]) ).
fof(f752,plain,
! [X0] :
( ~ s__GeopoliticalArea(X0)
| s__Object(X0) ),
inference(resolution,[],[f594,f330]) ).
fof(f786,plain,
( ! [X2,X3,X0,X1,X8,X6,X9,X7,X4,X5] :
( ~ s__WaterArea(sK14(X0))
| ~ s__City(X0)
| ~ s__Object(X0)
| ~ s__Object(X1)
| ~ real(X2)
| ~ real(X3)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ real(X6)
| ~ real(X7)
| ~ s__SymbolicString(X8)
| ~ s__SymbolicString(X9)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X1)
| ~ look_different(X0,s__Moscow)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ latlong(s__Moscow,X6,X7,X8,X9)
| to_int(X2) != to_int(X6)
| ~ is_instance(X0,s__CoastalCitiesClass)
| ~ s__City(X0) )
| ~ spl17_2 ),
inference(resolution,[],[f749,f342]) ).
fof(f787,plain,
( ! [X2,X3,X0,X1,X8,X6,X9,X7,X4,X5] :
( ~ s__WaterArea(sK14(X0))
| ~ s__City(X0)
| ~ s__Object(X0)
| ~ s__Object(X1)
| ~ real(X2)
| ~ real(X3)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ real(X6)
| ~ real(X7)
| ~ s__SymbolicString(X8)
| ~ s__SymbolicString(X9)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X1)
| ~ look_different(X0,s__Moscow)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ latlong(s__Moscow,X6,X7,X8,X9)
| to_int(X2) != to_int(X6)
| ~ is_instance(X0,s__CoastalCitiesClass) )
| ~ spl17_2 ),
inference(duplicate_literal_removal,[],[f786]) ).
fof(f788,plain,
! [X0] :
( s__WaterArea(sK14(X0))
| ~ is_instance(X0,s__CoastalCitiesClass)
| ~ s__City(X0) ),
inference(resolution,[],[f748,f336]) ).
fof(f794,plain,
! [X0] :
( s__Object(X0)
| ~ s__City(X0) ),
inference(resolution,[],[f752,f334]) ).
fof(f795,plain,
! [X0] :
( s__Object(X0)
| ~ s__Nation(X0) ),
inference(resolution,[],[f752,f333]) ).
fof(f802,plain,
( ! [X2,X3,X0,X1,X8,X6,X9,X7,X4,X5] :
( ~ is_instance(X0,s__CoastalCitiesClass)
| ~ s__City(X0)
| ~ s__City(X0)
| ~ s__Object(X0)
| ~ s__Object(X1)
| ~ real(X2)
| ~ real(X3)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ real(X6)
| ~ real(X7)
| ~ s__SymbolicString(X8)
| ~ s__SymbolicString(X9)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X1)
| ~ look_different(X0,s__Moscow)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ latlong(s__Moscow,X6,X7,X8,X9)
| to_int(X2) != to_int(X6)
| ~ is_instance(X0,s__CoastalCitiesClass) )
| ~ spl17_2 ),
inference(resolution,[],[f788,f787]) ).
fof(f805,plain,
( ! [X2,X3,X0,X1,X8,X6,X9,X7,X4,X5] :
( ~ is_instance(X0,s__CoastalCitiesClass)
| ~ s__City(X0)
| ~ s__Object(X0)
| ~ s__Object(X1)
| ~ real(X2)
| ~ real(X3)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ real(X6)
| ~ real(X7)
| ~ s__SymbolicString(X8)
| ~ s__SymbolicString(X9)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X1)
| ~ look_different(X0,s__Moscow)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ latlong(s__Moscow,X6,X7,X8,X9)
| to_int(X2) != to_int(X6) )
| ~ spl17_2 ),
inference(duplicate_literal_removal,[],[f802]) ).
fof(f806,plain,
( ! [X2,X3,X0,X1,X8,X6,X9,X7,X4,X5] :
( ~ s__Object(X1)
| ~ s__City(X0)
| ~ is_instance(X0,s__CoastalCitiesClass)
| ~ real(X2)
| ~ real(X3)
| ~ s__SymbolicString(X4)
| ~ s__SymbolicString(X5)
| ~ real(X6)
| ~ real(X7)
| ~ s__SymbolicString(X8)
| ~ s__SymbolicString(X9)
| ~ is_instance(X1,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X1)
| ~ look_different(X0,s__Moscow)
| ~ latlong(X0,X2,X3,X4,X5)
| ~ latlong(s__Moscow,X6,X7,X8,X9)
| to_int(X2) != to_int(X6) )
| ~ spl17_2 ),
inference(forward_subsumption_resolution,[],[f805,f794]) ).
fof(f838,plain,
( ! [X2,X3,X0,X1,X8,X6,X9,X7,X4,X5] :
( ~ look_different(X0,s__Moscow)
| ~ is_instance(X0,s__CoastalCitiesClass)
| ~ real(X1)
| ~ real(X2)
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X4)
| ~ real(X5)
| ~ real(X6)
| ~ s__SymbolicString(X7)
| ~ s__SymbolicString(X8)
| ~ is_instance(X9,s__OECDMemberEconomiesClass)
| ~ capital_city(X0,X9)
| ~ s__City(X0)
| ~ latlong(X0,X1,X2,X3,X4)
| ~ latlong(s__Moscow,X5,X6,X7,X8)
| to_int(X1) != to_int(X5)
| ~ s__Nation(X9) )
| ~ spl17_2 ),
inference(resolution,[],[f806,f795]) ).
fof(f1030,plain,
( ! [X2,X3,X0,X1,X8,X6,X7,X4,X5] :
( ~ is_instance(s__Copenhagen,s__CoastalCitiesClass)
| ~ real(X0)
| ~ real(X1)
| ~ s__SymbolicString(X2)
| ~ s__SymbolicString(X3)
| ~ real(X4)
| ~ real(X5)
| ~ s__SymbolicString(X6)
| ~ s__SymbolicString(X7)
| ~ is_instance(X8,s__OECDMemberEconomiesClass)
| ~ capital_city(s__Copenhagen,X8)
| ~ s__City(s__Copenhagen)
| ~ latlong(s__Copenhagen,X0,X1,X2,X3)
| ~ latlong(s__Moscow,X4,X5,X6,X7)
| to_int(X0) != to_int(X4)
| ~ s__Nation(X8) )
| ~ spl17_2 ),
inference(resolution,[],[f838,f521]) ).
fof(f1059,plain,
( ! [X2,X3,X0,X1,X8,X6,X7,X4,X5] :
( ~ real(X0)
| ~ real(X1)
| ~ s__SymbolicString(X2)
| ~ s__SymbolicString(X3)
| ~ real(X4)
| ~ real(X5)
| ~ s__SymbolicString(X6)
| ~ s__SymbolicString(X7)
| ~ is_instance(X8,s__OECDMemberEconomiesClass)
| ~ capital_city(s__Copenhagen,X8)
| ~ s__City(s__Copenhagen)
| ~ latlong(s__Copenhagen,X0,X1,X2,X3)
| ~ latlong(s__Moscow,X4,X5,X6,X7)
| to_int(X0) != to_int(X4)
| ~ s__Nation(X8) )
| ~ spl17_2 ),
inference(forward_subsumption_resolution,[],[f1030,f350]) ).
fof(f1214,plain,
( ! [X2,X3,X0,X1,X8,X6,X7,X4,X5] :
( ~ real(X0)
| ~ real(X1)
| ~ s__SymbolicString(X2)
| ~ s__SymbolicString(X3)
| ~ real(X4)
| ~ real(X5)
| ~ s__SymbolicString(X6)
| ~ s__SymbolicString(X7)
| ~ is_instance(X8,s__OECDMemberEconomiesClass)
| ~ capital_city(s__Copenhagen,X8)
| ~ latlong(s__Copenhagen,X0,X1,X2,X3)
| ~ latlong(s__Moscow,X4,X5,X6,X7)
| to_int(X0) != to_int(X4)
| ~ s__Nation(X8) )
| ~ spl17_2 ),
inference(forward_subsumption_resolution,[],[f1059,f417]) ).
fof(f1216,definition,
( spl17_61
<=> ! [X8] :
( ~ is_instance(X8,s__OECDMemberEconomiesClass)
| ~ s__Nation(X8)
| ~ capital_city(s__Copenhagen,X8) ) ),
introduced(definition,[new_symbols(definition,[spl17_61])],[avatar_definition]) ).
fof(f1217,plain,
( ! [X8] :
( ~ capital_city(s__Copenhagen,X8)
| ~ s__Nation(X8)
| ~ is_instance(X8,s__OECDMemberEconomiesClass) )
| ~ spl17_61 ),
inference(avatar_component_clause,[],[f1216]) ).
fof(f1219,definition,
( spl17_62
<=> ! [X5,X6,X4,X0,X7,X3,X2,X1] :
( ~ real(X0)
| to_int(X0) != to_int(X4)
| ~ latlong(s__Copenhagen,X0,X1,X2,X3)
| ~ real(X4)
| ~ latlong(s__Moscow,X4,X5,X6,X7)
| ~ s__SymbolicString(X7)
| ~ s__SymbolicString(X6)
| ~ real(X5)
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X2)
| ~ real(X1) ) ),
introduced(definition,[new_symbols(definition,[spl17_62])],[avatar_definition]) ).
fof(f1220,plain,
( ! [X2,X3,X0,X1,X6,X7,X4,X5] :
( ~ latlong(s__Copenhagen,X0,X1,X2,X3)
| ~ latlong(s__Moscow,X4,X5,X6,X7)
| ~ real(X0)
| ~ real(X4)
| to_int(X0) != to_int(X4)
| ~ s__SymbolicString(X7)
| ~ s__SymbolicString(X6)
| ~ real(X5)
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X2)
| ~ real(X1) )
| ~ spl17_62 ),
inference(avatar_component_clause,[],[f1219]) ).
fof(f1221,plain,
( spl17_61
| spl17_62
| ~ spl17_2 ),
inference(avatar_split_clause,[],[f1214,f590,f1219,f1216]) ).
fof(f1335,plain,
( ~ s__Nation(s__Denmark)
| ~ is_instance(s__Denmark,s__OECDMemberEconomiesClass)
| ~ spl17_61 ),
inference(resolution,[],[f1217,f418]) ).
fof(f1336,plain,
( ~ is_instance(s__Denmark,s__OECDMemberEconomiesClass)
| ~ spl17_61 ),
inference(forward_subsumption_resolution,[],[f1335,f355]) ).
fof(f1337,plain,
( $false
| ~ spl17_61 ),
inference(forward_subsumption_resolution,[],[f1336,f356]) ).
fof(f1338,plain,
~ spl17_61,
inference(avatar_contradiction_clause,[],[f1337]) ).
fof(f1339,plain,
( ! [X2,X3,X0,X1] :
( ~ latlong(s__Moscow,X0,X1,X2,X3)
| ~ real('55.67631')
| ~ real(X0)
| to_int(X0) != to_int('55.67631')
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X2)
| ~ real(X1)
| ~ s__SymbolicString(dk)
| ~ s__SymbolicString(copenhagen)
| ~ real('12.569355') )
| ~ spl17_62 ),
inference(resolution,[],[f1220,f469]) ).
fof(f1340,plain,
( ! [X2,X3,X0,X1] :
( ~ latlong(s__Moscow,X0,X1,X2,X3)
| ~ real(X0)
| to_int(X0) != to_int('55.67631')
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X2)
| ~ real(X1)
| ~ s__SymbolicString(dk)
| ~ s__SymbolicString(copenhagen)
| ~ real('12.569355') )
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1339,f465]) ).
fof(f1341,plain,
( ! [X2,X3,X0,X1] :
( ~ latlong(s__Moscow,X0,X1,X2,X3)
| ~ real(X0)
| to_int(X0) != to_int('55.67631')
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X2)
| ~ real(X1)
| ~ s__SymbolicString(copenhagen)
| ~ real('12.569355') )
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1340,f468]) ).
fof(f1342,plain,
( ! [X2,X3,X0,X1] :
( ~ latlong(s__Moscow,X0,X1,X2,X3)
| ~ real(X0)
| to_int(X0) != to_int('55.67631')
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X2)
| ~ real(X1)
| ~ real('12.569355') )
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1341,f467]) ).
fof(f1343,plain,
( ! [X2,X3,X0,X1] :
( ~ latlong(s__Moscow,X0,X1,X2,X3)
| ~ real(X0)
| to_int(X0) != to_int('55.67631')
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X2)
| ~ real(X1) )
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1342,f466]) ).
fof(f1344,plain,
( ! [X2,X3,X0,X1] :
( ~ latlong(s__Moscow,X0,X1,X2,X3)
| to_int(X0) != '55'
| ~ real(X0)
| ~ s__SymbolicString(X3)
| ~ s__SymbolicString(X2)
| ~ real(X1) )
| ~ spl17_62 ),
inference(forward_demodulation,[],[f1343,f552]) ).
fof(f1345,plain,
( '55' != to_int('55.75695')
| ~ real('55.75695')
| ~ s__SymbolicString(ru)
| ~ s__SymbolicString(moscow)
| ~ real('37.614975')
| ~ spl17_62 ),
inference(resolution,[],[f1344,f489]) ).
fof(f1346,plain,
( ~ real('55.75695')
| ~ s__SymbolicString(ru)
| ~ s__SymbolicString(moscow)
| ~ real('37.614975')
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1345,f553]) ).
fof(f1347,plain,
( ~ s__SymbolicString(ru)
| ~ s__SymbolicString(moscow)
| ~ real('37.614975')
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1346,f485]) ).
fof(f1348,plain,
( ~ s__SymbolicString(moscow)
| ~ real('37.614975')
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1347,f488]) ).
fof(f1349,plain,
( ~ real('37.614975')
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1348,f487]) ).
fof(f1350,plain,
( $false
| ~ spl17_62 ),
inference(forward_subsumption_resolution,[],[f1349,f486]) ).
fof(f1351,plain,
~ spl17_62,
inference(avatar_contradiction_clause,[],[f1350]) ).
fof(f1353,plain,
( $false
| ~ spl17_1 ),
inference(resolution,[],[f588,f530]) ).
fof(f1374,plain,
~ spl17_1,
inference(avatar_contradiction_clause,[],[f1353]) ).
cnf(s1,plain,
( spl17_1
| spl17_2 ),
inference(sat_conversion,[],[f592]) ).
cnf(s24,plain,
( ~ spl17_2
| spl17_61
| spl17_62 ),
inference(sat_conversion,[],[f1221]) ).
cnf(s29,plain,
~ spl17_61,
inference(sat_conversion,[],[f1338]) ).
cnf(s30,plain,
~ spl17_62,
inference(sat_conversion,[],[f1351]) ).
cnf(s41,plain,
~ spl17_1,
inference(sat_conversion,[],[f1374]) ).
cnf(s43,plain,
~ spl17_2,
inference(rat,[],[s24,s30,s29]) ).
cnf(s44,plain,
$false,
inference(rat,[],[s1,s43,s41]) ).
fof(f1375,plain,
$false,
inference(avatar_sat_refutation,[],[s44]) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.03 % Problem : CSR117+1 : TPTP v9.3.1. Released v4.1.0.
% 0.00/0.05 % Command : run_vampire /export/starexec/sandbox/benchmark/theBenchmark.p 300 SAT
% 0.08/0.18 % Computer : n002.cluster.edu
% 0.08/0.18 % Model : x86_64 x86_64
% 0.08/0.18 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.08/0.18 % Memory : 8046.5625MB
% 0.08/0.18 % OS : Linux 6.8.0-71-generic
% 0.08/0.18 % CPULimit : 300
% 0.08/0.18 % WCLimit : 300
% 0.08/0.18 % DateTime : Mon Sep 28 23:36:08 UTC 2026
% 0.08/0.18 % CPUTime :
% 0.08/0.18 Running run_vampire /export/starexec/sandbox/benchmark/theBenchmark.p 300 SAT
% 0.08/0.21 Running first-order model finding
% 0.08/0.21 Running: /export/starexec/sandbox/solver/bin/vampire-ho --input_syntax tptp --output_axiom_names on --mode casc --intent sat -m 16384 --cores 7 -t 300 /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.16/0.28 % (887541)Will run a generic schedule for satisfiability detection.
% 0.16/0.28 % (887551)ott+1_1_to=lpo:sil=16000:sp=reverse_arity:erd=off:random_seed=1395861869:i=131_2999 on theBenchmark for (2999ds/131Mi)
% 0.16/0.28 % (887547)% WARNING: option uhcvi not known.
% 0.16/0.28 % (887546)fmb+10_1_sas=cadical:bce=on:rp=on:random_seed=3011020451_2999 on theBenchmark for (2999ds/0Mi)
% 0.16/0.28 % (887547)dis+11_61:31_drc=ordering:lsd=5:bsr=unit_only:rp=on:newcnf=on:random_seed=1865695514:i=135531:add=off:rawr=on_2999 on theBenchmark for (2999ds/135531Mi)
% 0.16/0.28 % (887548)dis+10_161_sil=256000:plsq=on:plsqr=61199697,1048576:gs=on:alpa=true:sac=on:slsq=on:cn=on:random_seed=533296484:i=88024:add=on:rawr=on_2999 on theBenchmark for (2999ds/88024Mi)
% 0.16/0.28 % (887549)dis+10_1_sil=32000:sp=arity:random_seed=915215380:i=103:fgj=on_2999 on theBenchmark for (2999ds/103Mi)
% 0.16/0.28 % (887550)ott+31_1_sil=16000:lcm=predicate:bce=on:newcnf=on:random_seed=3961656979:i=116_2999 on theBenchmark for (2999ds/116Mi)
% 0.16/0.28 % (887552)ott-3_16_to=lpo:sil=16000:sp=arity:fd=off:rp=on:random_seed=2801357055:i=159:bs=unit_only:nicw=on:fsr=off:amm=off_2999 on theBenchmark for (2999ds/159Mi)
% 0.16/0.28 % TRYING [1]
% 0.16/0.28 % TRYING [2]
% 0.16/0.28 % TRYING [3]
% 0.16/0.28 % TRYING [4]
% 0.16/0.28 % (887550) found proof, printing to "/export/starexec/sandbox/tmp/vampire-proof-887541-887550"...
% 0.16/0.28 % (887550)...printing done.
% 0.16/0.28 % (887550)Refutation found. Thanks to Tanya!
% 0.16/0.28 % SZS status Theorem for theBenchmark
% 0.16/0.28 % SZS output start Proof for theBenchmark
% See solution above
% 0.16/0.28 % (887550)------------------------------
% 0.16/0.28 % (887550)Version: Vampire 5.0.1 (Release build, commit 5ef7c2677 on 2026-07-16 16:54:09 +0200)
% 0.16/0.28 % (887550)Linked with Z3 4.14.0.0 3c47fd96cf5645d0c42b2c819d9e9a84380aa721 z3-4.8.4-9178-g3c47fd96c
% 0.16/0.28 % (887550)CaDiCaL version: 2.1.3
% 0.16/0.28 % (887550)Termination reason: Refutation
% 0.16/0.28 % (887550)Time elapsed: 0.022 s
% 0.16/0.28 % (887550)Peak memory usage: 13 MB
% 0.16/0.28 % (887550)Instructions burned: 38 (million)
% 0.16/0.28 % (887541)Success in time 0.058 s
% 0.16/0.28 % Vampire exiting
%------------------------------------------------------------------------------