TSTP Solution File: CSR091+2 by Etableau---0.67

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : Etableau---0.67
% Problem  : CSR091+2 : TPTP v8.1.0. Bugfixed v7.3.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : etableau --auto --tsmdo --quicksat=10000 --tableau=1 --tableau-saturation=1 -s -p --tableau-cores=8 --cpu-limit=%d %s

% Computer : n006.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 03:17:11 EDT 2022

% Result   : Theorem 0.92s 1.12s
% Output   : CNFRefutation 0.92s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : CSR091+2 : TPTP v8.1.0. Bugfixed v7.3.0.
% 0.11/0.12  % Command  : etableau --auto --tsmdo --quicksat=10000 --tableau=1 --tableau-saturation=1 -s -p --tableau-cores=8 --cpu-limit=%d %s
% 0.12/0.33  % Computer : n006.cluster.edu
% 0.12/0.33  % Model    : x86_64 x86_64
% 0.12/0.33  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.33  % Memory   : 8042.1875MB
% 0.12/0.33  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.12/0.33  % CPULimit : 300
% 0.12/0.33  % WCLimit  : 600
% 0.12/0.34  % DateTime : Sat Jun 11 14:46:27 EDT 2022
% 0.12/0.34  % CPUTime  : 
% 0.77/0.94  # SinE strategy is gf200_h_gu_R03_F100_L20000
% 0.77/0.94  # Auto-Mode selected heuristic G_E___301_C18_F1_URBAN_S5PRR_RG_S04BN
% 0.77/0.94  # and selection function PSelectComplexExceptUniqMaxHorn.
% 0.77/0.94  #
% 0.77/0.94  # Number of axioms: 164 Number of unprocessed: 164
% 0.77/0.94  # Tableaux proof search.
% 0.77/0.94  # APR header successfully linked.
% 0.77/0.94  # Hello from C++
% 0.85/1.07  # The folding up rule is enabled...
% 0.85/1.07  # Local unification is enabled...
% 0.85/1.07  # Any saturation attempts will use folding labels...
% 0.85/1.07  # 164 beginning clauses after preprocessing and clausification
% 0.85/1.07  # Creating start rules for all 1 conjectures.
% 0.85/1.07  # There are 1 start rule candidates:
% 0.85/1.07  # Found 115 unit axioms.
% 0.85/1.07  # 1 start rule tableaux created.
% 0.85/1.07  # 49 extension rule candidate clauses
% 0.85/1.07  # 115 unit axiom clauses
% 0.85/1.07  
% 0.85/1.07  # Requested 8, 32 cores available to the main process.
% 0.85/1.07  # There are not enough tableaux to fork, creating more from the initial 1
% 0.92/1.12  # There were 4 total branch saturation attempts.
% 0.92/1.12  # There were 0 of these attempts blocked.
% 0.92/1.12  # There were 0 deferred branch saturation attempts.
% 0.92/1.12  # There were 0 free duplicated saturations.
% 0.92/1.12  # There were 4 total successful branch saturations.
% 0.92/1.12  # There were 0 successful branch saturations in interreduction.
% 0.92/1.12  # There were 0 successful branch saturations on the branch.
% 0.92/1.12  # There were 4 successful branch saturations after the branch.
% 0.92/1.12  # SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.92/1.12  # SZS output start for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.92/1.12  # Begin clausification derivation
% 0.92/1.12  
% 0.92/1.12  # End clausification derivation
% 0.92/1.12  # Begin listing active clauses obtained from FOF to CNF conversion
% 0.92/1.12  cnf(i_0_90, plain, (s__instance(s__EnglishLanguage,s__Entity))).
% 0.92/1.12  cnf(i_0_70, plain, (s__instance(s__EnglishLanguage,s__Physical))).
% 0.92/1.12  cnf(i_0_55, plain, (s__instance(s__Proc18_1,s__TherapeuticProcess))).
% 0.92/1.12  cnf(i_0_4, plain, (s__instance(s__Bio18_1,s__OrganicObject))).
% 0.92/1.12  cnf(i_0_89, plain, (s__instance(esk1_0,s__Entity))).
% 0.92/1.12  cnf(i_0_34, plain, (s__subclass(s__SetOrClass,s__Entity))).
% 0.92/1.12  cnf(i_0_115, plain, (s__subclass(s__SetOrClass,s__Abstract))).
% 0.92/1.12  cnf(i_0_23, plain, (s__subclass(s__Object,s__Entity))).
% 0.92/1.12  cnf(i_0_22, plain, (s__subclass(s__Object,s__Physical))).
% 0.92/1.12  cnf(i_0_116, plain, (s__subclass(s__Relation,s__Abstract))).
% 0.92/1.12  cnf(i_0_94, plain, (s__subclass(s__Human,s__Entity))).
% 0.92/1.12  cnf(i_0_93, plain, (s__subclass(s__Human,s__Object))).
% 0.92/1.12  cnf(i_0_91, plain, (s__subclass(s__Human,s__CognitiveAgent))).
% 0.92/1.12  cnf(i_0_92, plain, (s__subclass(s__Human,s__Physical))).
% 0.92/1.12  cnf(i_0_59, plain, (s__subclass(s__Human,s__Agent))).
% 0.92/1.12  cnf(i_0_72, plain, (s__subclass(s__Human,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_16, plain, (s__subclass(s__Human,s__Organism))).
% 0.92/1.12  cnf(i_0_67, plain, (s__subclass(s__Human,s__Animal))).
% 0.92/1.12  cnf(i_0_86, plain, (s__subclass(s__Human,s__CorpuscularObject))).
% 0.92/1.12  cnf(i_0_49, plain, (s__subclass(s__Human,s__OrganicObject))).
% 0.92/1.12  cnf(i_0_80, plain, (s__subclass(s__Human,s__OrganicThing))).
% 0.92/1.12  cnf(i_0_161, plain, (s__subclass(s__SymbolicString,s__Entity))).
% 0.92/1.12  cnf(i_0_160, plain, (s__subclass(s__SymbolicString,s__Object))).
% 0.92/1.12  cnf(i_0_157, plain, (s__subclass(s__SymbolicString,s__Physical))).
% 0.92/1.12  cnf(i_0_159, plain, (s__subclass(s__SymbolicString,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_154, plain, (s__subclass(s__SymbolicString,s__ContentBearingObject))).
% 0.92/1.12  cnf(i_0_158, plain, (s__subclass(s__SymbolicString,s__ContentBearingPhysical))).
% 0.92/1.12  cnf(i_0_87, plain, (s__subclass(s__SymbolicString,s__CorpuscularObject))).
% 0.92/1.12  cnf(i_0_168, plain, (s__subclass(s__CognitiveAgent,s__Entity))).
% 0.92/1.12  cnf(i_0_167, plain, (s__subclass(s__CognitiveAgent,s__Object))).
% 0.92/1.12  cnf(i_0_165, plain, (s__subclass(s__CognitiveAgent,s__Physical))).
% 0.92/1.12  cnf(i_0_166, plain, (s__subclass(s__CognitiveAgent,s__Agent))).
% 0.92/1.12  cnf(i_0_68, plain, (s__subclass(s__Physical,s__Entity))).
% 0.92/1.12  cnf(i_0_58, plain, (s__subclass(s__Agent,s__Entity))).
% 0.92/1.12  cnf(i_0_56, plain, (s__subclass(s__Agent,s__Object))).
% 0.92/1.12  cnf(i_0_57, plain, (s__subclass(s__Agent,s__Physical))).
% 0.92/1.12  cnf(i_0_74, plain, (s__subclass(s__SelfConnectedObject,s__Entity))).
% 0.92/1.12  cnf(i_0_71, plain, (s__subclass(s__SelfConnectedObject,s__Object))).
% 0.92/1.12  cnf(i_0_73, plain, (s__subclass(s__SelfConnectedObject,s__Physical))).
% 0.92/1.12  cnf(i_0_15, plain, (s__subclass(s__Organism,s__Entity))).
% 0.92/1.12  cnf(i_0_13, plain, (s__subclass(s__Organism,s__Object))).
% 0.92/1.12  cnf(i_0_10, plain, (s__subclass(s__Organism,s__Physical))).
% 0.92/1.12  cnf(i_0_8, plain, (s__subclass(s__Organism,s__Agent))).
% 0.92/1.12  cnf(i_0_11, plain, (s__subclass(s__Organism,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_14, plain, (s__subclass(s__Organism,s__CorpuscularObject))).
% 0.92/1.12  cnf(i_0_7, plain, (s__subclass(s__Organism,s__OrganicObject))).
% 0.92/1.12  cnf(i_0_12, plain, (s__subclass(s__Organism,s__OrganicThing))).
% 0.92/1.12  cnf(i_0_125, plain, (s__subclass(s__Process,s__Entity))).
% 0.92/1.12  cnf(i_0_69, plain, (s__subclass(s__Process,s__Physical))).
% 0.92/1.12  cnf(i_0_114, plain, (s__subclass(s__Abstract,s__Entity))).
% 0.92/1.12  cnf(i_0_21, plain, (s__subclass(s__Substance,s__Entity))).
% 0.92/1.12  cnf(i_0_20, plain, (s__subclass(s__Substance,s__Object))).
% 0.92/1.12  cnf(i_0_19, plain, (s__subclass(s__Substance,s__Physical))).
% 0.92/1.12  cnf(i_0_17, plain, (s__subclass(s__Substance,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_40, plain, (s__subclass(s__Attribute,s__Entity))).
% 0.92/1.12  cnf(i_0_39, plain, (s__subclass(s__Attribute,s__Abstract))).
% 0.92/1.12  cnf(i_0_66, plain, (s__subclass(s__Animal,s__Entity))).
% 0.92/1.12  cnf(i_0_65, plain, (s__subclass(s__Animal,s__Object))).
% 0.92/1.12  cnf(i_0_60, plain, (s__subclass(s__Animal,s__Physical))).
% 0.92/1.12  cnf(i_0_62, plain, (s__subclass(s__Animal,s__Agent))).
% 0.92/1.12  cnf(i_0_61, plain, (s__subclass(s__Animal,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_9, plain, (s__subclass(s__Animal,s__Organism))).
% 0.92/1.12  cnf(i_0_64, plain, (s__subclass(s__Animal,s__CorpuscularObject))).
% 0.92/1.12  cnf(i_0_48, plain, (s__subclass(s__Animal,s__OrganicObject))).
% 0.92/1.12  cnf(i_0_63, plain, (s__subclass(s__Animal,s__OrganicThing))).
% 0.92/1.12  cnf(i_0_85, plain, (s__subclass(s__CorpuscularObject,s__Entity))).
% 0.92/1.12  cnf(i_0_84, plain, (s__subclass(s__CorpuscularObject,s__Object))).
% 0.92/1.12  cnf(i_0_83, plain, (s__subclass(s__CorpuscularObject,s__Physical))).
% 0.92/1.12  cnf(i_0_82, plain, (s__subclass(s__CorpuscularObject,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_47, plain, (s__subclass(s__OrganicObject,s__Entity))).
% 0.92/1.12  cnf(i_0_46, plain, (s__subclass(s__OrganicObject,s__Object))).
% 0.92/1.12  cnf(i_0_44, plain, (s__subclass(s__OrganicObject,s__Physical))).
% 0.92/1.12  cnf(i_0_45, plain, (s__subclass(s__OrganicObject,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_41, plain, (s__subclass(s__OrganicObject,s__CorpuscularObject))).
% 0.92/1.12  cnf(i_0_42, plain, (s__subclass(s__OrganicObject,s__OrganicThing))).
% 0.92/1.12  cnf(i_0_117, plain, (s__subclass(s__InheritableRelation,s__Abstract))).
% 0.92/1.12  cnf(i_0_78, plain, (s__subclass(s__OrganicThing,s__Entity))).
% 0.92/1.12  cnf(i_0_77, plain, (s__subclass(s__OrganicThing,s__Object))).
% 0.92/1.12  cnf(i_0_76, plain, (s__subclass(s__OrganicThing,s__Physical))).
% 0.92/1.12  cnf(i_0_75, plain, (s__subclass(s__OrganicThing,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_100, plain, (s__subclass(s__PureSubstance,s__Entity))).
% 0.92/1.12  cnf(i_0_99, plain, (s__subclass(s__PureSubstance,s__Object))).
% 0.92/1.12  cnf(i_0_97, plain, (s__subclass(s__PureSubstance,s__Physical))).
% 0.92/1.12  cnf(i_0_98, plain, (s__subclass(s__PureSubstance,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_18, plain, (s__subclass(s__PureSubstance,s__Substance))).
% 0.92/1.12  cnf(i_0_95, plain, (s__subclass(s__ElementalSubstance,s__PureSubstance))).
% 0.92/1.12  cnf(i_0_96, plain, (s__subclass(s__Atom,s__PureSubstance))).
% 0.92/1.12  cnf(i_0_124, plain, (s__subclass(s__AnatomicalStructure,s__Entity))).
% 0.92/1.12  cnf(i_0_123, plain, (s__subclass(s__AnatomicalStructure,s__Object))).
% 0.92/1.12  cnf(i_0_120, plain, (s__subclass(s__AnatomicalStructure,s__Physical))).
% 0.92/1.12  cnf(i_0_121, plain, (s__subclass(s__AnatomicalStructure,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_122, plain, (s__subclass(s__AnatomicalStructure,s__CorpuscularObject))).
% 0.92/1.12  cnf(i_0_43, plain, (s__subclass(s__AnatomicalStructure,s__OrganicObject))).
% 0.92/1.12  cnf(i_0_81, plain, (s__subclass(s__AnatomicalStructure,s__OrganicThing))).
% 0.92/1.12  cnf(i_0_153, plain, (s__subclass(s__BodyPart,s__Entity))).
% 0.92/1.12  cnf(i_0_152, plain, (s__subclass(s__BodyPart,s__Object))).
% 0.92/1.12  cnf(i_0_148, plain, (s__subclass(s__BodyPart,s__Physical))).
% 0.92/1.12  cnf(i_0_150, plain, (s__subclass(s__BodyPart,s__SelfConnectedObject))).
% 0.92/1.12  cnf(i_0_151, plain, (s__subclass(s__BodyPart,s__CorpuscularObject))).
% 0.92/1.12  cnf(i_0_149, plain, (s__subclass(s__BodyPart,s__OrganicObject))).
% 0.92/1.12  cnf(i_0_79, plain, (s__subclass(s__BodyPart,s__OrganicThing))).
% 0.92/1.12  cnf(i_0_118, plain, (s__subclass(s__BodyPart,s__AnatomicalStructure))).
% 0.92/1.12  cnf(i_0_147, plain, (s__subclass(s__TherapeuticProcess,s__Entity))).
% 0.92/1.12  cnf(i_0_144, plain, (s__subclass(s__TherapeuticProcess,s__Physical))).
% 0.92/1.12  cnf(i_0_145, plain, (s__subclass(s__TherapeuticProcess,s__Process))).
% 0.92/1.12  cnf(i_0_146, plain, (s__subclass(s__TherapeuticProcess,s__IntentionalProcess))).
% 0.92/1.12  cnf(i_0_126, plain, (s__subclass(s__TherapeuticProcess,s__Repairing))).
% 0.92/1.12  cnf(i_0_130, plain, (s__subclass(s__Surgery,s__TherapeuticProcess))).
% 0.92/1.12  cnf(i_0_119, plain, (s__subclass(s__AnimalAnatomicalStructure,s__AnatomicalStructure))).
% 0.92/1.12  cnf(i_0_131, plain, (s__subclass(s__Massaging,s__TherapeuticProcess))).
% 0.92/1.12  cnf(i_0_143, plain, (s__subclass(s__Circumision,s__TherapeuticProcess))).
% 0.92/1.12  cnf(i_0_5, plain, (s__patient(s__Proc18_1,s__Bio18_1))).
% 0.92/1.12  cnf(i_0_88, plain, (s__instance(X1,s__Entity))).
% 0.92/1.12  cnf(i_0_6, plain, (~s__instance(s__Bio18_1,s__Organism))).
% 0.92/1.12  cnf(i_0_108, plain, (s__ListLengthFn(s__ListFn_2(X1,X2))="2"|X1!=X2)).
% 0.92/1.12  cnf(i_0_31, plain, (s__subclass(X1,X1)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_24, plain, (s__instance(X1,s__SetOrClass)|~s__subclass(X2,X1))).
% 0.92/1.12  cnf(i_0_25, plain, (s__instance(X1,s__SetOrClass)|~s__subclass(X1,X2))).
% 0.92/1.12  cnf(i_0_1, negated_conjecture, (~s__instance(X1,s__Organism)|~s__part(s__Bio18_1,X1))).
% 0.92/1.12  cnf(i_0_50, plain, (~s__patient(X1,X1)|~s__instance(X1,s__Process))).
% 0.92/1.12  cnf(i_0_134, plain, (s__instance(esk3_1(X1),s__Process)|~s__instance(X1,s__Object)|~s__instance(X1,s__Medicine))).
% 0.92/1.12  cnf(i_0_133, plain, (s__instance(esk3_1(X1),s__TherapeuticProcess)|~s__instance(X1,s__Object)|~s__instance(X1,s__Medicine))).
% 0.92/1.12  cnf(i_0_140, plain, (s__instance(esk4_1(X1),s__SetOrClass)|~s__instance(X1,s__Object)|~s__attribute(X1,s__MedicalDoctor))).
% 0.92/1.12  cnf(i_0_142, plain, (s__instance(esk5_1(X1),s__SetOrClass)|~s__instance(X1,s__Object)|~s__attribute(X1,s__MedicalDoctor))).
% 0.92/1.12  cnf(i_0_163, plain, (s__instance(esk6_1(X1),s__CognitiveAgent)|~s__instance(X1,s__Process)|~s__instance(X1,s__IntentionalProcess))).
% 0.92/1.12  cnf(i_0_164, plain, (s__instance(esk6_1(X1),s__Agent)|~s__instance(X1,s__Process)|~s__instance(X1,s__IntentionalProcess))).
% 0.92/1.12  cnf(i_0_139, plain, (s__subclass(esk4_1(X1),s__Process)|~s__instance(X1,s__Object)|~s__attribute(X1,s__MedicalDoctor))).
% 0.92/1.12  cnf(i_0_138, plain, (s__subclass(esk4_1(X1),s__DiagnosticProcess)|~s__instance(X1,s__Object)|~s__attribute(X1,s__MedicalDoctor))).
% 0.92/1.12  cnf(i_0_141, plain, (s__subclass(esk5_1(X1),s__Process)|~s__instance(X1,s__Object)|~s__attribute(X1,s__MedicalDoctor))).
% 0.92/1.12  cnf(i_0_137, plain, (s__subclass(esk5_1(X1),s__TherapeuticProcess)|~s__instance(X1,s__Object)|~s__attribute(X1,s__MedicalDoctor))).
% 0.92/1.12  cnf(i_0_162, plain, (s__agent(X1,esk6_1(X1))|~s__instance(X1,s__Process)|~s__instance(X1,s__IntentionalProcess))).
% 0.92/1.12  cnf(i_0_132, plain, (s__instrument(esk3_1(X1),X1)|~s__instance(X1,s__Object)|~s__instance(X1,s__Medicine))).
% 0.92/1.12  cnf(i_0_35, plain, (~s__attribute(X1,X1)|~s__instance(X1,s__Object)|~s__instance(X1,s__Attribute))).
% 0.92/1.12  cnf(i_0_112, plain, (s__ListLengthFn(s__ListFn_2(X2,X1))="2"|~s__instance(X2,X1)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_156, plain, (s__ListLengthFn(s__ListFn_2(X1,X2))="2"|~s__names(X1,X2)|~s__instance(X1,s__SymbolicString))).
% 0.92/1.12  cnf(i_0_54, plain, (s__ListLengthFn(s__ListFn_2(X1,X2))="2"|~s__patient(X1,X2)|~s__instance(X1,s__Process))).
% 0.92/1.12  cnf(i_0_32, plain, (X1=X2|~s__subclass(X2,X1)|~s__subclass(X1,X2)|~s__instance(X2,s__SetOrClass)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_51, plain, (X1=X2|~s__patient(X2,X1)|~s__patient(X1,X2)|~s__instance(X2,s__Process)|~s__instance(X1,s__Process))).
% 0.92/1.12  cnf(i_0_106, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X1,X2),"1"),s__Entity)|X1!=X2)).
% 0.92/1.12  cnf(i_0_104, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X1,X2),"2"),s__Entity)|X1!=X2)).
% 0.92/1.12  cnf(i_0_110, plain, (s__ListLengthFn(s__ListFn_2(X2,X1))="2"|~s__subrelation(X2,X1)|~s__instance(X2,s__Relation)|~s__instance(X1,s__Relation))).
% 0.92/1.12  cnf(i_0_109, plain, (s__ListLengthFn(s__ListFn_2(X2,X1))="2"|~s__subclass(X2,X1)|~s__instance(X2,s__SetOrClass)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_38, plain, (s__ListLengthFn(s__ListFn_2(X2,X1))="2"|~s__attribute(X2,X1)|~s__instance(X2,s__Object)|~s__instance(X1,s__Attribute))).
% 0.92/1.12  cnf(i_0_111, plain, (s__ListLengthFn(s__ListFn_2(X2,X1))="2"|~s__reflexiveOn(X2,X1)|~s__instance(X2,s__BinaryRelation)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_113, plain, (s__ListLengthFn(s__ListFn_2(X2,X1))="2"|~s__irreflexiveOn(X2,X1)|~s__instance(X2,s__BinaryRelation)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_107, plain, (s__ListOrderFn(s__ListFn_2(X1,X2),s__ListLengthFn(s__ListFn_2(X1,X2)))=X2)).
% 0.92/1.12  cnf(i_0_136, plain, (s__capability(esk4_1(X1),s__agent__m,X1)|~s__instance(X1,s__Object)|~s__attribute(X1,s__MedicalDoctor))).
% 0.92/1.12  cnf(i_0_135, plain, (s__capability(esk5_1(X1),s__agent__m,X1)|~s__instance(X1,s__Object)|~s__attribute(X1,s__MedicalDoctor))).
% 0.92/1.12  cnf(i_0_26, plain, (s__instance(X3,X1)|~s__instance(X3,X2)|~s__subclass(X2,X1)|~s__instance(X2,s__SetOrClass)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_33, plain, (s__subclass(X3,X1)|~s__subclass(X3,X2)|~s__subclass(X2,X1)|~s__instance(X3,s__SetOrClass)|~s__instance(X2,s__SetOrClass)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_36, plain, (X1=X2|~s__attribute(X2,X1)|~s__attribute(X1,X2)|~s__instance(X2,s__Object)|~s__instance(X2,s__Attribute)|~s__instance(X1,s__Object)|~s__instance(X1,s__Attribute))).
% 0.92/1.12  cnf(i_0_103, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X2,X1),"1"),s__Entity)|~s__instance(X2,X1)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_102, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X2,X1),"2"),s__SetOrClass)|~s__instance(X2,X1)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_155, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X1,X2),"1"),s__SymbolicString)|~s__names(X1,X2)|~s__instance(X1,s__SymbolicString))).
% 0.92/1.12  cnf(i_0_53, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X1,X2),"1"),s__Process)|~s__patient(X1,X2)|~s__instance(X1,s__Process))).
% 0.92/1.12  cnf(i_0_52, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X1,X2),"2"),s__Entity)|~s__patient(X1,X2)|~s__instance(X1,s__Process))).
% 0.92/1.12  cnf(i_0_129, plain, (s__instance(X1,s__Organism)|s__instance(esk2_2(X1,X2),s__Object)|~s__patient(X2,X1)|~s__instance(X2,s__Process)|~s__instance(X2,s__TherapeuticProcess)|~s__instance(X1,s__Object))).
% 0.92/1.12  cnf(i_0_128, plain, (s__instance(X1,s__Organism)|s__instance(esk2_2(X1,X2),s__Organism)|~s__patient(X2,X1)|~s__instance(X2,s__Process)|~s__instance(X2,s__TherapeuticProcess)|~s__instance(X1,s__Object))).
% 0.92/1.12  cnf(i_0_127, plain, (s__instance(X1,s__Organism)|s__part(X1,esk2_2(X1,X2))|~s__patient(X2,X1)|~s__instance(X2,s__Process)|~s__instance(X2,s__TherapeuticProcess)|~s__instance(X1,s__Object))).
% 0.92/1.12  cnf(i_0_2, plain, (s__instance(X1,X2)|~s__instance(X3,X2)|~s__part(X1,X3)|~s__instance(X3,s__Object)|~s__instance(X2,s__SetOrClass)|~s__instance(X1,s__Object)|~s__subclass(X2,s__Substance))).
% 0.92/1.12  cnf(i_0_3, plain, (s__attribute(X2,X1)|~s__part(X2,X3)|~s__attribute(X3,X1)|~s__instance(X3,s__Object)|~s__instance(X3,s__Substance)|~s__instance(X2,s__Object)|~s__instance(X1,s__Attribute))).
% 0.92/1.12  cnf(i_0_105, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X2,X1),"1"),s__SetOrClass)|~s__subclass(X2,X1)|~s__instance(X2,s__SetOrClass)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  cnf(i_0_37, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X2,X1),"1"),s__Object)|~s__attribute(X2,X1)|~s__instance(X2,s__Object)|~s__instance(X1,s__Attribute))).
% 0.92/1.12  cnf(i_0_101, plain, (s__instance(s__ListOrderFn(s__ListFn_2(X2,X1),"2"),s__SetOrClass)|~s__subclass(X2,X1)|~s__instance(X2,s__SetOrClass)|~s__instance(X1,s__SetOrClass))).
% 0.92/1.12  # End listing active clauses.  There is an equivalent clause to each of these in the clausification!
% 0.92/1.12  # Begin printing tableau
% 0.92/1.12  # Found 12 steps
% 0.92/1.12  cnf(i_0_1, negated_conjecture, (~s__instance(esk2_2(s__Bio18_1,s__Proc18_1),s__Organism)|~s__part(s__Bio18_1,esk2_2(s__Bio18_1,s__Proc18_1))), inference(start_rule)).
% 0.92/1.12  cnf(i_0_170, plain, (~s__part(s__Bio18_1,esk2_2(s__Bio18_1,s__Proc18_1))), inference(extension_rule, [i_0_127])).
% 0.92/1.12  cnf(i_0_491, plain, (s__instance(s__Bio18_1,s__Organism)), inference(closure_rule, [i_0_6])).
% 0.92/1.12  cnf(i_0_493, plain, (~s__patient(s__Proc18_1,s__Bio18_1)), inference(closure_rule, [i_0_5])).
% 0.92/1.12  cnf(i_0_495, plain, (~s__instance(s__Proc18_1,s__TherapeuticProcess)), inference(closure_rule, [i_0_55])).
% 0.92/1.12  cnf(i_0_494, plain, (~s__instance(s__Proc18_1,s__Process)), inference(extension_rule, [i_0_26])).
% 0.92/1.12  cnf(i_0_624, plain, (~s__instance(s__Proc18_1,s__TherapeuticProcess)), inference(closure_rule, [i_0_55])).
% 0.92/1.12  cnf(i_0_625, plain, (~s__subclass(s__TherapeuticProcess,s__Process)), inference(closure_rule, [i_0_145])).
% 0.92/1.12  cnf(i_0_169, plain, (~s__instance(esk2_2(s__Bio18_1,s__Proc18_1),s__Organism)), inference(etableau_closure_rule, [i_0_169, ...])).
% 0.92/1.12  cnf(i_0_496, plain, (~s__instance(s__Bio18_1,s__Object)), inference(etableau_closure_rule, [i_0_496, ...])).
% 0.92/1.12  cnf(i_0_626, plain, (~s__instance(s__TherapeuticProcess,s__SetOrClass)), inference(etableau_closure_rule, [i_0_626, ...])).
% 0.92/1.12  cnf(i_0_627, plain, (~s__instance(s__Process,s__SetOrClass)), inference(etableau_closure_rule, [i_0_627, ...])).
% 0.92/1.12  # End printing tableau
% 0.92/1.12  # SZS output end
% 0.92/1.12  # Branches closed with saturation will be marked with an "s"
% 0.92/1.12  # Returning from population with 6 new_tableaux and 0 remaining starting tableaux.
% 0.92/1.12  # We now have 6 tableaux to operate on
% 0.92/1.12  # Found closed tableau during pool population.
% 0.92/1.12  # Proof search is over...
% 0.92/1.12  # Freeing feature tree
%------------------------------------------------------------------------------