TSTP Solution File: NLP002-10 by Bliksem---1.12
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- Process Solution
%------------------------------------------------------------------------------
% File : Bliksem---1.12
% Problem : NLP002-10 : TPTP v8.1.0. Released v7.5.0.
% Transfm : none
% Format : tptp:raw
% Command : bliksem %s
% Computer : n008.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 : 0s
% DateTime : Mon Jul 18 01:02:04 EDT 2022
% Result : Satisfiable 0.75s 1.10s
% Output : Saturation 0.75s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.11/0.12 % Problem : NLP002-10 : TPTP v8.1.0. Released v7.5.0.
% 0.11/0.13 % Command : bliksem %s
% 0.13/0.34 % Computer : n008.cluster.edu
% 0.13/0.34 % Model : x86_64 x86_64
% 0.13/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34 % Memory : 8042.1875MB
% 0.13/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34 % CPULimit : 300
% 0.13/0.34 % DateTime : Thu Jun 30 23:03:23 EDT 2022
% 0.13/0.34 % CPUTime :
% 0.75/1.10 *** allocated 10000 integers for termspace/termends
% 0.75/1.10 *** allocated 10000 integers for clauses
% 0.75/1.10 *** allocated 10000 integers for justifications
% 0.75/1.10 Bliksem 1.12
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10 Automatic Strategy Selection
% 0.75/1.10
% 0.75/1.10 Clauses:
% 0.75/1.10 [
% 0.75/1.10 [ =( ifeq3( X, X, Y, Z ), Y ) ],
% 0.75/1.10 [ =( ifeq2( X, X, Y, Z ), Y ) ],
% 0.75/1.10 [ =( ifeq( X, X, Y, Z ), Y ) ],
% 0.75/1.10 [ =( event( skf1( X, Y ) ), true ) ],
% 0.75/1.10 [ =( ifeq2( nonhuman( X ), true, entity( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( drs( X ), true, proposition( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( proposition( X ), true, drs( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( woman( X ), true, female( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( female( X ), true, human( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( male( X ), true, human( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( man( X ), true, male( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( object( X ), true, entity( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( location( X ), true, object( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( city( X ), true, location( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( hollywood( X ), true, city( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( event( X ), true, eventuality( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( artifact( X ), true, object( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( way( X ), true, artifact( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( street( X ), true, way( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( instrumentality( X ), true, artifact( X ), true ), true ) ]
% 0.75/1.10 ,
% 0.75/1.10 [ =( ifeq2( transport( X ), true, instrumentality( X ), true ), true ) ]
% 0.75/1.10 ,
% 0.75/1.10 [ =( ifeq2( vehicle( X ), true, transport( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( car( X ), true, vehicle( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( chevy( X ), true, car( X ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( of( X, Y ), true, ifeq2( owner( X ), true, human( X ), true
% 0.75/1.10 ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( of( X, Y ), true, have( skf1( X, Y ), Y, X ), true ), true )
% 0.75/1.10 ],
% 0.75/1.10 [ =( ifeq2( have( X, Y, Z ), true, ifeq2( human( Y ), true, owner( Y ),
% 0.75/1.10 true ), true ), true ) ],
% 0.75/1.10 [ =( ifeq3( partof( X, Y ), true, ifeq3( partof( X, Z ), true, Y, Z ), Z
% 0.75/1.10 ), Z ) ],
% 0.75/1.10 [ =( ifeq2( have( X, Y, Z ), true, ifeq2( event( X ), true, of( Y, Z ),
% 0.75/1.10 true ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( have( X, Y, Z ), true, ifeq2( human( Y ), true, of( Y, Z ),
% 0.75/1.10 true ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( of( X, Y ), true, ifeq2( owner( X ), true, have( Z, X, Y ),
% 0.75/1.10 true ), true ), true ) ],
% 0.75/1.10 [ =( ifeq2( have( X, Y, Z ), true, ifeq2( nonhuman( Y ), true, ifeq2(
% 0.75/1.10 nonhuman( Z ), true, partof( Z, Y ), true ), true ), true ), true ) ]
% 0.75/1.10 ,
% 0.75/1.10 [ =( hollywood( skc7 ), true ) ],
% 0.75/1.10 [ =( city( skc7 ), true ) ],
% 0.75/1.10 [ =( event( skc6 ), true ) ],
% 0.75/1.10 [ =( street( skc5 ), true ) ],
% 0.75/1.10 [ =( way( skc5 ), true ) ],
% 0.75/1.10 [ =( lonely( skc5 ), true ) ],
% 0.75/1.10 [ =( old( skc4 ), true ) ],
% 0.75/1.10 [ =( dirty( skc4 ), true ) ],
% 0.75/1.10 [ =( white( skc4 ), true ) ],
% 0.75/1.10 [ =( car( skc4 ), true ) ],
% 0.75/1.10 [ =( chevy( skc4 ), true ) ],
% 0.75/1.10 [ =( in( skc6, skc7 ), true ) ],
% 0.75/1.10 [ =( down( skc6, skc5 ), true ) ],
% 0.75/1.10 [ =( barrel( skc6, skc4 ), true ) ],
% 0.75/1.10 [ =( ifeq( tuple( nonhuman( X ), human( X ) ), tuple( true, true ), a, b
% 0.75/1.10 ), b ) ],
% 0.75/1.10 [ =( ifeq( tuple( woman( X ), man( X ) ), tuple( true, true ), a, b ), b
% 0.75/1.10 ) ],
% 0.75/1.10 [ =( ifeq( tuple( female( X ), male( X ) ), tuple( true, true ), a, b )
% 0.75/1.10 , b ) ],
% 0.75/1.10 [ =( ifeq( tuple( eventuality( X ), abstraction( X ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ],
% 0.75/1.10 [ =( ifeq( tuple( entity( X ), abstraction( X ) ), tuple( true, true ),
% 0.75/1.10 a, b ), b ) ],
% 0.75/1.10 [ =( ifeq( tuple( entity( X ), eventuality( X ) ), tuple( true, true ),
% 0.75/1.10 a, b ), b ) ],
% 0.75/1.10 [ =( ifeq( tuple( old( X ), new( X ) ), tuple( true, true ), a, b ), b )
% 0.75/1.10 ],
% 0.75/1.10 [ =( ifeq( tuple( location( X ), artifact( X ) ), tuple( true, true ), a
% 0.75/1.10 , b ), b ) ],
% 0.75/1.10 [ =( ifeq( tuple( way( X ), instrumentality( X ) ), tuple( true, true )
% 0.75/1.10 , a, b ), b ) ],
% 0.75/1.10 [ ~( =( a, b ) ) ]
% 0.75/1.10 ] .
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10 percentage equality = 1.000000, percentage horn = 1.000000
% 0.75/1.10 This is a pure equality problem
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10 Options Used:
% 0.75/1.10
% 0.75/1.10 useres = 1
% 0.75/1.10 useparamod = 1
% 0.75/1.10 useeqrefl = 1
% 0.75/1.10 useeqfact = 1
% 0.75/1.10 usefactor = 1
% 0.75/1.10 usesimpsplitting = 0
% 0.75/1.10 usesimpdemod = 5
% 0.75/1.10 usesimpres = 3
% 0.75/1.10
% 0.75/1.10 resimpinuse = 1000
% 0.75/1.10 resimpclauses = 20000
% 0.75/1.10 substype = eqrewr
% 0.75/1.10 backwardsubs = 1
% 0.75/1.10 selectoldest = 5
% 0.75/1.10
% 0.75/1.10 litorderings [0] = split
% 0.75/1.10 litorderings [1] = extend the termordering, first sorting on arguments
% 0.75/1.10
% 0.75/1.10 termordering = kbo
% 0.75/1.10
% 0.75/1.10 litapriori = 0
% 0.75/1.10 termapriori = 1
% 0.75/1.10 litaposteriori = 0
% 0.75/1.10 termaposteriori = 0
% 0.75/1.10 demodaposteriori = 0
% 0.75/1.10 ordereqreflfact = 0
% 0.75/1.10
% 0.75/1.10 litselect = negord
% 0.75/1.10
% 0.75/1.10 maxweight = 15
% 0.75/1.10 maxdepth = 30000
% 0.75/1.10 maxlength = 115
% 0.75/1.10 maxnrvars = 195
% 0.75/1.10 excuselevel = 1
% 0.75/1.10 increasemaxweight = 1
% 0.75/1.10
% 0.75/1.10 maxselected = 10000000
% 0.75/1.10 maxnrclauses = 10000000
% 0.75/1.10
% 0.75/1.10 showgenerated = 0
% 0.75/1.10 showkept = 0
% 0.75/1.10 showselected = 0
% 0.75/1.10 showdeleted = 0
% 0.75/1.10 showresimp = 1
% 0.75/1.10 showstatus = 2000
% 0.75/1.10
% 0.75/1.10 prologoutput = 1
% 0.75/1.10 nrgoals = 5000000
% 0.75/1.10 totalproof = 1
% 0.75/1.10
% 0.75/1.10 Symbols occurring in the translation:
% 0.75/1.10
% 0.75/1.10 {} [0, 0] (w:1, o:2, a:1, s:1, b:0),
% 0.75/1.10 . [1, 2] (w:1, o:57, a:1, s:1, b:0),
% 0.75/1.10 ! [4, 1] (w:0, o:22, a:1, s:1, b:0),
% 0.75/1.10 = [13, 2] (w:1, o:0, a:0, s:1, b:0),
% 0.75/1.10 ==> [14, 2] (w:1, o:0, a:0, s:1, b:0),
% 0.75/1.10 ifeq3 [42, 4] (w:1, o:91, a:1, s:1, b:0),
% 0.75/1.10 ifeq2 [43, 4] (w:1, o:90, a:1, s:1, b:0),
% 0.75/1.10 ifeq [44, 4] (w:1, o:92, a:1, s:1, b:0),
% 0.75/1.10 skf1 [47, 2] (w:1, o:82, a:1, s:1, b:0),
% 0.75/1.10 event [48, 1] (w:1, o:32, a:1, s:1, b:0),
% 0.75/1.10 true [49, 0] (w:1, o:18, a:1, s:1, b:0),
% 0.75/1.10 nonhuman [50, 1] (w:1, o:37, a:1, s:1, b:0),
% 0.75/1.10 entity [51, 1] (w:1, o:38, a:1, s:1, b:0),
% 0.75/1.10 drs [52, 1] (w:1, o:30, a:1, s:1, b:0),
% 0.75/1.10 proposition [53, 1] (w:1, o:43, a:1, s:1, b:0),
% 0.75/1.10 woman [54, 1] (w:1, o:45, a:1, s:1, b:0),
% 0.75/1.10 female [55, 1] (w:1, o:47, a:1, s:1, b:0),
% 0.75/1.10 human [56, 1] (w:1, o:48, a:1, s:1, b:0),
% 0.75/1.10 male [57, 1] (w:1, o:35, a:1, s:1, b:0),
% 0.75/1.10 man [58, 1] (w:1, o:36, a:1, s:1, b:0),
% 0.75/1.10 object [59, 1] (w:1, o:40, a:1, s:1, b:0),
% 0.75/1.10 location [60, 1] (w:1, o:33, a:1, s:1, b:0),
% 0.75/1.10 city [61, 1] (w:1, o:28, a:1, s:1, b:0),
% 0.75/1.10 hollywood [62, 1] (w:1, o:49, a:1, s:1, b:0),
% 0.75/1.10 eventuality [63, 1] (w:1, o:46, a:1, s:1, b:0),
% 0.75/1.10 artifact [64, 1] (w:1, o:50, a:1, s:1, b:0),
% 0.75/1.10 way [65, 1] (w:1, o:51, a:1, s:1, b:0),
% 0.75/1.10 street [66, 1] (w:1, o:52, a:1, s:1, b:0),
% 0.75/1.10 instrumentality [67, 1] (w:1, o:53, a:1, s:1, b:0),
% 0.75/1.10 transport [68, 1] (w:1, o:54, a:1, s:1, b:0),
% 0.75/1.10 vehicle [69, 1] (w:1, o:44, a:1, s:1, b:0),
% 0.75/1.10 car [70, 1] (w:1, o:29, a:1, s:1, b:0),
% 0.75/1.10 chevy [71, 1] (w:1, o:27, a:1, s:1, b:0),
% 0.75/1.10 of [72, 2] (w:1, o:83, a:1, s:1, b:0),
% 0.75/1.10 owner [73, 1] (w:1, o:41, a:1, s:1, b:0),
% 0.75/1.10 have [74, 3] (w:1, o:89, a:1, s:1, b:0),
% 0.75/1.10 partof [76, 2] (w:1, o:84, a:1, s:1, b:0),
% 0.75/1.10 skc7 [77, 0] (w:1, o:8, a:1, s:1, b:0),
% 0.75/1.10 skc6 [78, 0] (w:1, o:7, a:1, s:1, b:0),
% 0.75/1.10 skc5 [79, 0] (w:1, o:6, a:1, s:1, b:0),
% 0.75/1.10 lonely [80, 1] (w:1, o:34, a:1, s:1, b:0),
% 0.75/1.10 skc4 [81, 0] (w:1, o:5, a:1, s:1, b:0),
% 0.75/1.10 old [82, 1] (w:1, o:42, a:1, s:1, b:0),
% 0.75/1.10 dirty [83, 1] (w:1, o:31, a:1, s:1, b:0),
% 0.75/1.10 white [84, 1] (w:1, o:55, a:1, s:1, b:0),
% 0.75/1.10 in [85, 2] (w:1, o:85, a:1, s:1, b:0),
% 0.75/1.10 down [86, 2] (w:1, o:86, a:1, s:1, b:0),
% 0.75/1.10 barrel [87, 2] (w:1, o:87, a:1, s:1, b:0),
% 0.75/1.10 tuple [88, 2] (w:1, o:88, a:1, s:1, b:0),
% 0.75/1.10 a [89, 0] (w:1, o:20, a:1, s:1, b:0),
% 0.75/1.10 b [90, 0] (w:1, o:21, a:1, s:1, b:0),
% 0.75/1.10 abstraction [91, 1] (w:1, o:56, a:1, s:1, b:0),
% 0.75/1.10 new [92, 1] (w:1, o:39, a:1, s:1, b:0).
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10 Starting Search:
% 0.75/1.10
% 0.75/1.10 Resimplifying inuse:
% 0.75/1.10 Done
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10 found a saturation!
% 0.75/1.10 % SZS status Satisfiable
% 0.75/1.10 % SZS output start Saturation
% 0.75/1.10
% 0.75/1.10 clause( 88, [ =( ifeq( tuple( entity( skf1( X, Y ) ), true ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 83, [ =( ifeq3( partof( X, ifeq3( partof( X, Y ), true, Y, Y ) ),
% 0.75/1.10 true, Y, Y ), Y ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 95, [ =( ifeq( tuple( true, abstraction( skf1( X, Y ) ) ), tuple(
% 0.75/1.10 true, true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 90, [ =( ifeq2( have( skf1( X, Y ), Z, T ), true, of( Z, T ), true
% 0.75/1.10 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 46, [ =( ifeq( tuple( nonhuman( X ), human( X ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 47, [ =( ifeq( tuple( woman( X ), man( X ) ), tuple( true, true ),
% 0.75/1.10 a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 31, [ =( ifeq2( have( X, Y, Z ), true, ifeq2( nonhuman( Y ), true,
% 0.75/1.10 ifeq2( nonhuman( Z ), true, partof( Z, Y ), true ), true ), true ), true
% 0.75/1.10 ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 48, [ =( ifeq( tuple( female( X ), male( X ) ), tuple( true, true )
% 0.75/1.10 , a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 96, [ =( ifeq( tuple( true, abstraction( skc6 ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 49, [ =( ifeq( tuple( eventuality( X ), abstraction( X ) ), tuple(
% 0.75/1.10 true, true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 94, [ =( ifeq( tuple( true, abstraction( skc7 ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 30, [ =( ifeq2( of( X, Y ), true, ifeq2( owner( X ), true, have( Z
% 0.75/1.10 , X, Y ), true ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 93, [ =( ifeq( tuple( true, abstraction( skc4 ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 92, [ =( ifeq( tuple( true, abstraction( skc5 ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 50, [ =( ifeq( tuple( entity( X ), abstraction( X ) ), tuple( true
% 0.75/1.10 , true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 89, [ =( ifeq( tuple( entity( skc6 ), true ), tuple( true, true ),
% 0.75/1.10 a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 29, [ =( ifeq2( have( X, Y, Z ), true, ifeq2( human( Y ), true, of(
% 0.75/1.10 Y, Z ), true ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 87, [ =( ifeq( tuple( true, eventuality( skc7 ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 86, [ =( ifeq( tuple( true, eventuality( skc4 ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 85, [ =( ifeq( tuple( true, eventuality( skc5 ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 91, [ =( ifeq2( have( skc6, X, Y ), true, of( X, Y ), true ), true
% 0.75/1.10 ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 28, [ =( ifeq2( have( X, Y, Z ), true, ifeq2( event( X ), true, of(
% 0.75/1.10 Y, Z ), true ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 51, [ =( ifeq( tuple( entity( X ), eventuality( X ) ), tuple( true
% 0.75/1.10 , true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 84, [ =( ifeq( tuple( true, new( skc4 ) ), tuple( true, true ), a,
% 0.75/1.10 b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 52, [ =( ifeq( tuple( old( X ), new( X ) ), tuple( true, true ), a
% 0.75/1.10 , b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 82, [ =( ifeq( tuple( location( skc4 ), true ), tuple( true, true )
% 0.75/1.10 , a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 27, [ =( ifeq3( partof( X, Y ), true, ifeq3( partof( X, Z ), true,
% 0.75/1.10 Y, Z ), Z ), Z ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 81, [ =( ifeq( tuple( location( skc5 ), true ), tuple( true, true )
% 0.75/1.10 , a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 80, [ =( ifeq( tuple( true, artifact( skc7 ) ), tuple( true, true )
% 0.75/1.10 , a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 53, [ =( ifeq( tuple( location( X ), artifact( X ) ), tuple( true,
% 0.75/1.10 true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 79, [ =( ifeq( tuple( true, instrumentality( skc5 ) ), tuple( true
% 0.75/1.10 , true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 26, [ =( ifeq2( have( X, Y, Z ), true, ifeq2( human( Y ), true,
% 0.75/1.10 owner( Y ), true ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 78, [ =( ifeq( tuple( way( skc4 ), true ), tuple( true, true ), a,
% 0.75/1.10 b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 54, [ =( ifeq( tuple( way( X ), instrumentality( X ) ), tuple( true
% 0.75/1.10 , true ), a, b ), b ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 75, [ =( ifeq2( nonhuman( skc7 ), true, true, true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 76, [ =( ifeq2( nonhuman( skc4 ), true, true, true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 25, [ =( ifeq2( of( X, Y ), true, have( skf1( X, Y ), Y, X ), true
% 0.75/1.10 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 77, [ =( ifeq2( nonhuman( skc5 ), true, true, true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 74, [ =( entity( skc5 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 73, [ =( entity( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 72, [ =( entity( skc7 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 24, [ =( ifeq2( of( X, Y ), true, ifeq2( owner( X ), true, human( X
% 0.75/1.10 ), true ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 11, [ =( ifeq2( object( X ), true, entity( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 70, [ =( ifeq2( location( skc5 ), true, true, true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 69, [ =( ifeq2( location( skc4 ), true, true, true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 71, [ =( ifeq2( artifact( skc7 ), true, true, true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 10, [ =( ifeq2( man( X ), true, male( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 68, [ =( object( skc7 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 12, [ =( ifeq2( location( X ), true, object( X ), true ), true ) ]
% 0.75/1.10 )
% 0.75/1.10 .
% 0.75/1.10 clause( 67, [ =( location( skc7 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 13, [ =( ifeq2( city( X ), true, location( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 9, [ =( ifeq2( male( X ), true, human( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 14, [ =( ifeq2( hollywood( X ), true, city( X ), true ), true ) ]
% 0.75/1.10 )
% 0.75/1.10 .
% 0.75/1.10 clause( 65, [ =( eventuality( skf1( X, Y ) ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 66, [ =( eventuality( skc6 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 15, [ =( ifeq2( event( X ), true, eventuality( X ), true ), true )
% 0.75/1.10 ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 8, [ =( ifeq2( female( X ), true, human( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 64, [ =( object( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 63, [ =( object( skc5 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 16, [ =( ifeq2( artifact( X ), true, object( X ), true ), true ) ]
% 0.75/1.10 )
% 0.75/1.10 .
% 0.75/1.10 clause( 60, [ =( ifeq2( way( skc4 ), true, true, true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 7, [ =( ifeq2( woman( X ), true, female( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 62, [ =( ifeq2( instrumentality( skc5 ), true, true, true ), true )
% 0.75/1.10 ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 61, [ =( artifact( skc5 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 17, [ =( ifeq2( way( X ), true, artifact( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 18, [ =( ifeq2( street( X ), true, way( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 6, [ =( ifeq2( proposition( X ), true, drs( X ), true ), true ) ]
% 0.75/1.10 )
% 0.75/1.10 .
% 0.75/1.10 clause( 59, [ =( artifact( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 19, [ =( ifeq2( instrumentality( X ), true, artifact( X ), true ),
% 0.75/1.10 true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 58, [ =( instrumentality( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 20, [ =( ifeq2( transport( X ), true, instrumentality( X ), true )
% 0.75/1.10 , true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 5, [ =( ifeq2( drs( X ), true, proposition( X ), true ), true ) ]
% 0.75/1.10 )
% 0.75/1.10 .
% 0.75/1.10 clause( 57, [ =( transport( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 21, [ =( ifeq2( vehicle( X ), true, transport( X ), true ), true )
% 0.75/1.10 ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 56, [ =( vehicle( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 22, [ =( ifeq2( car( X ), true, vehicle( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 4, [ =( ifeq2( nonhuman( X ), true, entity( X ), true ), true ) ]
% 0.75/1.10 )
% 0.75/1.10 .
% 0.75/1.10 clause( 23, [ =( ifeq2( chevy( X ), true, car( X ), true ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 3, [ =( event( skf1( X, Y ) ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 43, [ =( in( skc6, skc7 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 44, [ =( down( skc6, skc5 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 2, [ =( ifeq( X, X, Y, Z ), Y ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 45, [ =( barrel( skc6, skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 32, [ =( hollywood( skc7 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 33, [ =( city( skc7 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 34, [ =( event( skc6 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 1, [ =( ifeq2( X, X, Y, Z ), Y ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 35, [ =( street( skc5 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 36, [ =( way( skc5 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 37, [ =( lonely( skc5 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 38, [ =( old( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 0, [ =( ifeq3( X, X, Y, Z ), Y ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 39, [ =( dirty( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 40, [ =( white( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 41, [ =( car( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 42, [ =( chevy( skc4 ), true ) ] )
% 0.75/1.10 .
% 0.75/1.10 clause( 55, [ ~( =( b, a ) ) ] )
% 0.75/1.10 .
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10 % SZS output end Saturation
% 0.75/1.10 end of saturation!
% 0.75/1.10
% 0.75/1.10 Memory use:
% 0.75/1.10
% 0.75/1.10 space for terms: 2150
% 0.75/1.10 space for clauses: 10873
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10 clauses generated: 310
% 0.75/1.10 clauses kept: 97
% 0.75/1.10 clauses selected: 97
% 0.75/1.10 clauses deleted: 0
% 0.75/1.10 clauses inuse deleted: 0
% 0.75/1.10
% 0.75/1.10 subsentry: 0
% 0.75/1.10 literals s-matched: 0
% 0.75/1.10 literals matched: 0
% 0.75/1.10 full subsumption: 0
% 0.75/1.10
% 0.75/1.10 checksum: -2090948746
% 0.75/1.10
% 0.75/1.10
% 0.75/1.10 Bliksem ended
%------------------------------------------------------------------------------