TSTP Solution File: CSR115+26 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+26 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n016.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 : 300s
% DateTime : Wed Aug 30 21:24:25 EDT 2023
% Result : Theorem 0.20s 0.59s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : CSR115+26 : TPTP v8.1.2. Released v4.0.0.
% 0.13/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n016.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 % WCLimit : 300
% 0.13/0.34 % DateTime : Mon Aug 28 08:54:44 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.20/0.46
% 0.20/0.46 input clause set summed statistics:
% 0.20/0.46 ----------------------------------
% 0.20/0.46 in_clause_count: 10636
% 0.20/0.46 in_rule_clause_count: 337
% 0.20/0.46 in_fact_clause_count: 10299
% 0.20/0.46 in_answer_clause_count: 0
% 0.20/0.46 in_ground_clause_count: 10300
% 0.20/0.46 in_unit_clause_count: 10302
% 0.20/0.46 in_horn_clause_count: 10626
% 0.20/0.46 in_pos_clause_count: 10306
% 0.20/0.46 in_neg_clause_count: 11
% 0.20/0.46 in_poseq_clause_count: 0
% 0.20/0.46 in_negeq_clause_count: 0
% 0.20/0.46 in_unitposeq_clause_count: 0
% 0.20/0.46 in_chain_clause_count: 0
% 0.20/0.46 in_min_length: 1
% 0.20/0.46 in_max_length: 9
% 0.20/0.46 in_min_depth: 1
% 0.20/0.46 in_max_depth: 5
% 0.20/0.46 in_min_size: 3
% 0.20/0.46 in_max_size: 30
% 0.20/0.46 in_min_vars: 0
% 0.20/0.46 in_max_vars: 7
% 0.20/0.46 in_extaxiom_count: 10394
% 0.20/0.46 in_axiom_count: 0
% 0.20/0.46 in_assumption_count: 241
% 0.20/0.46 in_goal_count: 1
% 0.20/0.46 in_neg_goal_count: 1
% 0.20/0.46 in_pos_goal_count: 0
% 0.20/0.46 in_posunit_goal_count: 0
% 0.20/0.46
% 0.20/0.46 auto guide:
% 0.20/0.46 -----------
% 0.20/0.46 {
% 0.20/0.46 "print":1,
% 0.20/0.46 "print_level": 15,
% 0.20/0.46 "max_size": 0,
% 0.20/0.46 "max_depth": 0,
% 0.20/0.46 "max_length": 0,
% 0.20/0.46 "max_dseconds": 0,
% 0.20/0.46 "equality":0,
% 0.20/0.46 "runs":[
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.46 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.46 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.46
% 0.20/0.46 ]}
% 0.20/0.46
% 0.20/0.46
% 0.20/0.46 **** run 1 fork 0 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.46
% 0.20/0.46 **** run 2 fork 1 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 3 fork 2 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.46
% 0.20/0.46 **** run 4 fork 3 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 5 fork 4 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.46
% 0.20/0.46 **** run 6 fork 5 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 7 fork 6 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.46
% 0.20/0.46 **** run 8 fork 7 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.59
% 0.20/0.59 fork 7: search finished without proof.
% 0.20/0.59
% 0.20/0.59
% 0.20/0.59 result: proof found
% 0.20/0.59 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.59 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.59 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.59
% 0.20/0.59 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.59 fof('ave07_era5_synth_qa07_007_mira_news_1168_$sk', plain, (varia(fabrikant_1_1,varia_c) & (refer(fabrikant_1_1,refer_c) & (quant(fabrikant_1_1,one) & (gener(fabrikant_1_1,ge) & (fact(fabrikant_1_1,real) & (etype(fabrikant_1_1,int0) & (card(fabrikant_1_1,int1) & (sort(fabrikant_1_1,io) & (sort(fabrikant_1_1,d) & (varia(c1511,varia_c) & (refer(c1511,refer_c) & (quant(c1511,quant_c) & (gener(c1511,gener_c) & (fact(c1511,real) & (etype(c1511,etype_c) & (card(c1511,card_c) & (sort(c1511,ent) & (sort(neo_1_1,nq) & (varia(c1123,con) & (refer(c1123,det) & (quant(c1123,one) & (gener(c1123,sp) & (fact(c1123,real) & (etype(c1123,int0) & (card(c1123,int1) & (sort(c1123,d) & (varia(c1116,con) & (refer(c1116,det) & (quant(c1116,mult) & (gener(c1116,sp) & (fact(c1116,real) & (etype(c1116,int1) & (card(c1116,cons(x_constant,cons(int1,nil))) & (sort(c1116,io) & (sort(c1116,d) & (varia(maschinenfabrikant_1_1,varia_c) & (refer(maschinenfabrikant_1_1,refer_c) & (quant(maschinenfabrikant_1_1,one) & (gener(maschinenfabrikant_1_1,ge) & (fact(maschinenfabrikant_1_1,real) & (etype(maschinenfabrikant_1_1,int0) & (card(maschinenfabrikant_1_1,int1) & (sort(maschinenfabrikant_1_1,io) & (sort(maschinenfabrikant_1_1,d) & (sort(britisch__1_1,nq) & (varia(c1103,con) & (refer(c1103,det) & (quant(c1103,one) & (gener(c1103,sp) & (fact(c1103,real) & (etype(c1103,int0) & (card(c1103,int1) & (sort(c1103,io) & (sort(c1103,d) & (varia(venture_1_1,varia_c) & (refer(venture_1_1,refer_c) & (quant(venture_1_1,one) & (gener(venture_1_1,ge) & (fact(venture_1_1,real) & (etype(venture_1_1,int0) & (card(venture_1_1,int1) & (sort(venture_1_1,o) & (varia(c1036,varia_c) & (refer(c1036,refer_c) & (quant(c1036,one) & (gener(c1036,gener_c) & (fact(c1036,real) & (etype(c1036,int0) & (card(c1036,int1) & (sort(c1036,o) & (varia(joint_1_1,varia_c) & (refer(joint_1_1,refer_c) & (quant(joint_1_1,one) & (gener(joint_1_1,ge) & (fact(joint_1_1,real) & (etype(joint_1_1,int0) & (card(joint_1_1,int1) & (sort(joint_1_1,o) & (varia(c1035,varia_c) & (refer(c1035,indet) & (quant(c1035,one) & (gener(c1035,sp) & (fact(c1035,real) & (etype(c1035,int0) & (card(c1035,int1) & (sort(c1035,o) & (sort(royce_0,fe) & (varia(eigenname_1_1,varia_c) & (refer(eigenname_1_1,refer_c) & (quant(eigenname_1_1,one) & (gener(eigenname_1_1,ge) & (fact(eigenname_1_1,real) & (etype(eigenname_1_1,int0) & (card(eigenname_1_1,int1) & (sort(eigenname_1_1,na) & (varia(c1032,varia_c) & (refer(c1032,indet) & (quant(c1032,one) & (gener(c1032,sp) & (fact(c1032,real) & (etype(c1032,int0) & (card(c1032,int1) & (sort(c1032,na) & (varia(c1031,con) & (refer(c1031,det) & (quant(c1031,one) & (gener(c1031,sp) & (fact(c1031,real) & (etype(c1031,int0) & (card(c1031,int1) & (sort(c1031,d) & (sort(roll_0,fe) & (varia(familiename_1_1,varia_c) & (refer(familiename_1_1,refer_c) & (quant(familiename_1_1,one) & (gener(familiename_1_1,ge) & (fact(familiename_1_1,real) & (etype(familiename_1_1,int0) & (card(familiename_1_1,int1) & (sort(familiename_1_1,na) & (varia(mensch_1_1,varia_c) & (refer(mensch_1_1,refer_c) & (quant(mensch_1_1,one) & (gener(mensch_1_1,ge) & (fact(mensch_1_1,real) & (etype(mensch_1_1,int0) & (card(mensch_1_1,int1) & (sort(mensch_1_1,d) & (varia(c1027,varia_c) & (refer(c1027,indet) & (quant(c1027,one) & (gener(c1027,sp) & (fact(c1027,real) & (etype(c1027,int0) & (card(c1027,int1) & (sort(c1027,na) & (varia(c1026,con) & (refer(c1026,det) & (quant(c1026,one) & (gener(c1026,sp) & (fact(c1026,real) & (etype(c1026,int0) & (card(c1026,int1) & (sort(c1026,d) & (sort(bmw_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(firma_1_1,varia_c) & (refer(firma_1_1,refer_c) & (quant(firma_1_1,one) & (gener(firma_1_1,ge) & (fact(firma_1_1,real) & (etype(firma_1_1,int0) & (card(firma_1_1,int1) & (sort(firma_1_1,io) & (sort(firma_1_1,d) & (varia(c1099,varia_c) & (refer(c1099,indet) & (quant(c1099,one) & (gener(c1099,sp) & (fact(c1099,real) & (etype(c1099,int0) & (card(c1099,int1) & (sort(c1099,na) & (varia(c1023,varia_c) & (refer(c1023,indet) & (quant(c1023,one) & (gener(c1023,sp) & (fact(c1023,real) & (etype(c1023,int0) & (card(c1023,int1) & (sort(c1023,na) & (varia(c1022,con) & (refer(c1022,det) & (quant(c1022,one) & (gener(c1022,sp) & (fact(c1022,real) & (etype(c1022,int0) & (card(c1022,int1) & (sort(c1022,io) & (sort(c1022,d) & (varia(werk_1_2,varia_c) & (refer(werk_1_2,refer_c) & (quant(werk_1_2,one) & (gener(werk_1_2,ge) & (fact(werk_1_2,real) & (etype(werk_1_2,int0) & (card(werk_1_2,int1) & (sort(werk_1_2,io) & (sort(werk_1_2,d) & (varia(ableger_1_1,varia_c) & (refer(ableger_1_1,refer_c) & (quant(ableger_1_1,one) & (gener(ableger_1_1,ge) & (fact(ableger_1_1,real) & (etype(ableger_1_1,int0) & (card(ableger_1_1,int1) & (sort(ableger_1_1,d) & (varia(aggregat_1_1,varia_c) & (refer(aggregat_1_1,refer_c) & (quant(aggregat_1_1,one) & (gener(aggregat_1_1,ge) & (fact(aggregat_1_1,real) & (etype(aggregat_1_1,int0) & (card(aggregat_1_1,int1) & (sort(aggregat_1_1,io) & (sort(aggregat_1_1,d) & (sub(maschinenfabrikant_1_1,fabrikant_1_1) & (assoc(maschinenfabrikant_1_1,aggregat_1_1) & (tupl_p9(c1511,c1022,c1031,c1035,c1036,c1022,c1103,c1116,c1123) & (sub(c1123,aggregat_1_1) & (prop(c1123,neo_1_1) & (pred(c1116,aggregat_1_1) & (sub(c1103,maschinenfabrikant_1_1) & (prop(c1103,britisch__1_1) & (val(c1099,bmw_0) & (sub(c1099,name_1_1) & (sub(c1036,venture_1_1) & (sub(c1035,joint_1_1) & (val(c1032,royce_0) & (sub(c1032,eigenname_1_1) & (sub(c1031,mensch_1_1) & (attr(c1031,c1032) & (val(c1027,roll_0) & (sub(c1027,familiename_1_1) & (sub(c1026,mensch_1_1) & (attr(c1026,c1027) & (attch(c1026,c1022) & (val(c1023,bmw_0) & (sub(c1023,name_1_1) & (sub(c1022,firma_1_1) & (attr(c1022,c1099) & (attr(c1022,c1023) & (sub(aggregat_1_1,werk_1_2) & assoc(aggregat_1_1,ableger_1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.59 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1168'])).
% 0.20/0.59 fof('ave07_era5_synth_qa07_007_mira_news_1168', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(aggregat_1_1,ableger_1_1) & sub(aggregat_1_1,werk_1_2)) & attr(c1022,c1023)) & attr(c1022,c1099)) & sub(c1022,firma_1_1)) & sub(c1023,name_1_1)) & val(c1023,bmw_0)) & attch(c1026,c1022)) & attr(c1026,c1027)) & sub(c1026,mensch_1_1)) & sub(c1027,familiename_1_1)) & val(c1027,roll_0)) & attr(c1031,c1032)) & sub(c1031,mensch_1_1)) & sub(c1032,eigenname_1_1)) & val(c1032,royce_0)) & sub(c1035,joint_1_1)) & sub(c1036,venture_1_1)) & sub(c1099,name_1_1)) & val(c1099,bmw_0)) & prop(c1103,britisch__1_1)) & sub(c1103,maschinenfabrikant_1_1)) & pred(c1116,aggregat_1_1)) & prop(c1123,neo_1_1)) & sub(c1123,aggregat_1_1)) & tupl_p9(c1511,c1022,c1031,c1035,c1036,c1022,c1103,c1116,c1123)) & assoc(maschinenfabrikant_1_1,aggregat_1_1)) & sub(maschinenfabrikant_1_1,fabrikant_1_1)) & sort(aggregat_1_1,d)) & sort(aggregat_1_1,io)) & card(aggregat_1_1,int1)) & etype(aggregat_1_1,int0)) & fact(aggregat_1_1,real)) & gener(aggregat_1_1,ge)) & quant(aggregat_1_1,one)) & refer(aggregat_1_1,refer_c)) & varia(aggregat_1_1,varia_c)) & sort(ableger_1_1,d)) & card(ableger_1_1,int1)) & etype(ableger_1_1,int0)) & fact(ableger_1_1,real)) & gener(ableger_1_1,ge)) & quant(ableger_1_1,one)) & refer(ableger_1_1,refer_c)) & varia(ableger_1_1,varia_c)) & sort(werk_1_2,d)) & sort(werk_1_2,io)) & card(werk_1_2,int1)) & etype(werk_1_2,int0)) & fact(werk_1_2,real)) & gener(werk_1_2,ge)) & quant(werk_1_2,one)) & refer(werk_1_2,refer_c)) & varia(werk_1_2,varia_c)) & sort(c1022,d)) & sort(c1022,io)) & card(c1022,int1)) & etype(c1022,int0)) & fact(c1022,real)) & gener(c1022,sp)) & quant(c1022,one)) & refer(c1022,det)) & varia(c1022,con)) & sort(c1023,na)) & card(c1023,int1)) & etype(c1023,int0)) & fact(c1023,real)) & gener(c1023,sp)) & quant(c1023,one)) & refer(c1023,indet)) & varia(c1023,varia_c)) & sort(c1099,na)) & card(c1099,int1)) & etype(c1099,int0)) & fact(c1099,real)) & gener(c1099,sp)) & quant(c1099,one)) & refer(c1099,indet)) & varia(c1099,varia_c)) & sort(firma_1_1,d)) & sort(firma_1_1,io)) & card(firma_1_1,int1)) & etype(firma_1_1,int0)) & fact(firma_1_1,real)) & gener(firma_1_1,ge)) & quant(firma_1_1,one)) & refer(firma_1_1,refer_c)) & varia(firma_1_1,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(bmw_0,fe)) & sort(c1026,d)) & card(c1026,int1)) & etype(c1026,int0)) & fact(c1026,real)) & gener(c1026,sp)) & quant(c1026,one)) & refer(c1026,det)) & varia(c1026,con)) & sort(c1027,na)) & card(c1027,int1)) & etype(c1027,int0)) & fact(c1027,real)) & gener(c1027,sp)) & quant(c1027,one)) & refer(c1027,indet)) & varia(c1027,varia_c)) & sort(mensch_1_1,d)) & card(mensch_1_1,int1)) & etype(mensch_1_1,int0)) & fact(mensch_1_1,real)) & gener(mensch_1_1,ge)) & quant(mensch_1_1,one)) & refer(mensch_1_1,refer_c)) & varia(mensch_1_1,varia_c)) & sort(familiename_1_1,na)) & card(familiename_1_1,int1)) & etype(familiename_1_1,int0)) & fact(familiename_1_1,real)) & gener(familiename_1_1,ge)) & quant(familiename_1_1,one)) & refer(familiename_1_1,refer_c)) & varia(familiename_1_1,varia_c)) & sort(roll_0,fe)) & sort(c1031,d)) & card(c1031,int1)) & etype(c1031,int0)) & fact(c1031,real)) & gener(c1031,sp)) & quant(c1031,one)) & refer(c1031,det)) & varia(c1031,con)) & sort(c1032,na)) & card(c1032,int1)) & etype(c1032,int0)) & fact(c1032,real)) & gener(c1032,sp)) & quant(c1032,one)) & refer(c1032,indet)) & varia(c1032,varia_c)) & sort(eigenname_1_1,na)) & card(eigenname_1_1,int1)) & etype(eigenname_1_1,int0)) & fact(eigenname_1_1,real)) & gener(eigenname_1_1,ge)) & quant(eigenname_1_1,one)) & refer(eigenname_1_1,refer_c)) & varia(eigenname_1_1,varia_c)) & sort(royce_0,fe)) & sort(c1035,o)) & card(c1035,int1)) & etype(c1035,int0)) & fact(c1035,real)) & gener(c1035,sp)) & quant(c1035,one)) & refer(c1035,indet)) & varia(c1035,varia_c)) & sort(joint_1_1,o)) & card(joint_1_1,int1)) & etype(joint_1_1,int0)) & fact(joint_1_1,real)) & gener(joint_1_1,ge)) & quant(joint_1_1,one)) & refer(joint_1_1,refer_c)) & varia(joint_1_1,varia_c)) & sort(c1036,o)) & card(c1036,int1)) & etype(c1036,int0)) & fact(c1036,real)) & gener(c1036,gener_c)) & quant(c1036,one)) & refer(c1036,refer_c)) & varia(c1036,varia_c)) & sort(venture_1_1,o)) & card(venture_1_1,int1)) & etype(venture_1_1,int0)) & fact(venture_1_1,real)) & gener(venture_1_1,ge)) & quant(venture_1_1,one)) & refer(venture_1_1,refer_c)) & varia(venture_1_1,varia_c)) & sort(c1103,d)) & sort(c1103,io)) & card(c1103,int1)) & etype(c1103,int0)) & fact(c1103,real)) & gener(c1103,sp)) & quant(c1103,one)) & refer(c1103,det)) & varia(c1103,con)) & sort(britisch__1_1,nq)) & sort(maschinenfabrikant_1_1,d)) & sort(maschinenfabrikant_1_1,io)) & card(maschinenfabrikant_1_1,int1)) & etype(maschinenfabrikant_1_1,int0)) & fact(maschinenfabrikant_1_1,real)) & gener(maschinenfabrikant_1_1,ge)) & quant(maschinenfabrikant_1_1,one)) & refer(maschinenfabrikant_1_1,refer_c)) & varia(maschinenfabrikant_1_1,varia_c)) & sort(c1116,d)) & sort(c1116,io)) & card(c1116,cons(x_constant,cons(int1,nil)))) & etype(c1116,int1)) & fact(c1116,real)) & gener(c1116,sp)) & quant(c1116,mult)) & refer(c1116,det)) & varia(c1116,con)) & sort(c1123,d)) & card(c1123,int1)) & etype(c1123,int0)) & fact(c1123,real)) & gener(c1123,sp)) & quant(c1123,one)) & refer(c1123,det)) & varia(c1123,con)) & sort(neo_1_1,nq)) & sort(c1511,ent)) & card(c1511,card_c)) & etype(c1511,etype_c)) & fact(c1511,real)) & gener(c1511,gener_c)) & quant(c1511,quant_c)) & refer(c1511,refer_c)) & varia(c1511,varia_c)) & sort(fabrikant_1_1,d)) & sort(fabrikant_1_1,io)) & card(fabrikant_1_1,int1)) & etype(fabrikant_1_1,int0)) & fact(fabrikant_1_1,real)) & gener(fabrikant_1_1,ge)) & quant(fabrikant_1_1,one)) & refer(fabrikant_1_1,refer_c)) & varia(fabrikant_1_1,varia_c)),
% 0.20/0.59 input).
% 0.20/0.59 fof('synth_qa07_007_mira_news_1168_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.20/0.59 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1168'])).
% 0.20/0.59 fof('synth_qa07_007_mira_news_1168', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.20/0.59 input).
% 0.20/0.59 fof('$inc_attr_val_name_1_1__name_rel_$sk', plain, (name(X3,X2) | (~val(X1,X2) | (~sub(X1,name_1_1) | ~attr(X3,X1)))),
% 0.20/0.59 inference(negpush_and_skolemize,[],['$inc_attr_val_name_1_1__name_rel'])).
% 0.20/0.59 fof('$inc_attr_val_name_1_1__name_rel', axiom, (! [X0,X1,X2] : (((attr(X2,X0) & sub(X0,name_1_1)) & val(X0,X1)) => name(X2,X1))),
% 0.20/0.59 input).
% 0.20/0.59 fof('$inc_name_rel__attr_val_name_1_1_$sk', plain, ((val($sk3(X1,X2),X2) & (sub($sk3(X1,X2),name_1_1) & attr(X1,$sk3(X1,X2)))) | ~name(X1,X2)),
% 0.20/0.59 inference(negpush_and_skolemize,[],['$inc_name_rel__attr_val_name_1_1'])).
% 0.20/0.59 fof('$inc_name_rel__attr_val_name_1_1', axiom, (! [X0,X1] : (name(X1,X0) => (? [X2] : ((attr(X1,X2) & sub(X2,name_1_1)) & val(X2,X0))))),
% 0.20/0.59 input).
% 0.20/0.59 fof('$inc_state_adjective__in_state_$sk', plain, ((val($sk16(X1,X2,X3),X3) & (sub($sk16(X1,X2,X3),name_1_1) & (sub($sk15(X1,X2,X3),land_1_1) & (loc(X2,$sk14(X1,X2,X3)) & (attr($sk15(X1,X2,X3),$sk16(X1,X2,X3)) & in($sk14(X1,X2,X3),$sk15(X1,X2,X3))))))) | (~state_adjective_state_binding(X1,X3) | ~prop(X2,X1))),
% 0.20/0.59 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 0.20/0.59 fof('$inc_state_adjective__in_state', axiom, (! [X0,X1,X2] : ((prop(X0,X1) & state_adjective_state_binding(X1,X2)) => (? [X3,X4,X5] : (((((in(X5,X3) & attr(X3,X4)) & loc(X0,X5)) & sub(X3,land_1_1)) & sub(X4,name_1_1)) & val(X4,X2))))),
% 0.20/0.59 input).
% 0.20/0.59 fof('$inc_fact_8846', axiom, state_adjective_state_binding(britisch__1_1,grossbritannien_0),
% 0.20/0.59 input).
% 0.20/0.59 fof('$inc_sub__bezeichnen_1_1_als_$sk', plain, ((subs($sk9(X1,X2,X3),bezeichnen_1_1) & (subr($sk7(X1,X2,X3),rprs_0) & (sub($sk8(X1,X2,X3),X3) & (obj($sk9(X1,X2,X3),X1) & (mcont($sk9(X1,X2,X3),$sk7(X1,X2,X3)) & (hsit(X2,$sk9(X1,X2,X3)) & (arg2($sk7(X1,X2,X3),$sk8(X1,X2,X3)) & arg1($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.20/0.59 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.20/0.59 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.20/0.59 input).
% 0.20/0.59 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.20/0.59 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.20/0.59 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.20/0.59 input).
% 0.20/0.59 cnf('1', plain, (attr(c1022,c1023)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('2', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.20/0.59 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('3', plain, (val(c1023,bmw_0)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('4', plain, (sub(c1022,firma_1_1)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('5', plain, (sub(c1023,name_1_1)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('6', plain, (~val(X,bmw_0) | ~attr(Y,Z) | ~attr(U,X) | ~obj(V,c1022) | ~sub(X,name_1_1)),
% 0.20/0.59 inference(resolution,[then_simplify],['1','2','3','4','5'])).
% 0.20/0.59 cnf('7', plain, (~val(X,Y) | ~attr(Z,X) | ~sub(X,name_1_1) | name(Z,Y)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_attr_val_name_1_1__name_rel_$sk'])).
% 0.20/0.59 cnf('8', plain, (val(c1099,bmw_0)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('9', plain, (sub(c1099,name_1_1)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('10', plain, (~attr(X,c1099) | name(X,bmw_0)),
% 0.20/0.59 inference(resolution,[then_simplify],['7','8','9'])).
% 0.20/0.59 cnf('11', plain, (attr(c1022,c1099)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('12', plain, (name(c1022,bmw_0)),
% 0.20/0.59 inference(resolution,[],['10','11'])).
% 0.20/0.59 cnf('13', plain, (attr(X,$sk3(X,Y)) | ~name(X,Y)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.59 cnf('14', plain, (attr(c1022,$sk3(c1022,bmw_0))),
% 0.20/0.59 inference(resolution,[],['12','13'])).
% 0.20/0.59 cnf('15', plain, (val($sk3(X,Y),Y) | ~name(X,Y)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.59 cnf('16', plain, (val($sk3(c1022,bmw_0),bmw_0)),
% 0.20/0.59 inference(resolution,[],['12','15'])).
% 0.20/0.59 cnf('17', plain, (sub($sk3(X,Y),name_1_1) | ~name(X,Y)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.59 cnf('18', plain, (sub($sk3(c1022,bmw_0),name_1_1)),
% 0.20/0.59 inference(resolution,[],['12','17'])).
% 0.20/0.59 cnf('19', plain, (~attr(X,Y) | ~obj(Z,c1022)),
% 0.20/0.59 inference(resolution,[then_simplify],['6','14','16','18'])).
% 0.20/0.59 cnf('20', plain, (attr($sk15(X,Y,Z),$sk16(X,Y,Z)) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.20/0.59 cnf('21', plain, (state_adjective_state_binding(britisch__1_1,grossbritannien_0)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_fact_8846'])).
% 0.20/0.59 cnf('22', plain, (attr($sk15(britisch__1_1,X,grossbritannien_0),$sk16(britisch__1_1,X,grossbritannien_0)) | ~prop(X,britisch__1_1)),
% 0.20/0.59 inference(resolution,[],['20','21'])).
% 0.20/0.59 cnf('23', plain, (prop(c1103,britisch__1_1)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('24', plain, (attr($sk15(britisch__1_1,c1103,grossbritannien_0),$sk16(britisch__1_1,c1103,grossbritannien_0))),
% 0.20/0.59 inference(resolution,[],['22','23'])).
% 0.20/0.59 cnf('25', plain, (val($sk16(X,Y,Z),Z) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.20/0.59 cnf('26', plain, (val($sk16(britisch__1_1,c1103,X),X) | ~state_adjective_state_binding(britisch__1_1,X)),
% 0.20/0.59 inference(resolution,[],['25','23'])).
% 0.20/0.59 cnf('27', plain, (val($sk16(britisch__1_1,c1103,grossbritannien_0),grossbritannien_0)),
% 0.20/0.59 inference(resolution,[],['26','21'])).
% 0.20/0.59 cnf('28', plain, (sub($sk16(X,Y,Z),name_1_1) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.20/0.59 cnf('29', plain, (sub($sk16(britisch__1_1,X,grossbritannien_0),name_1_1) | ~prop(X,britisch__1_1)),
% 0.20/0.59 inference(resolution,[],['28','21'])).
% 0.20/0.59 cnf('30', plain, (sub($sk16(britisch__1_1,c1103,grossbritannien_0),name_1_1)),
% 0.20/0.59 inference(resolution,[],['29','23'])).
% 0.20/0.59 cnf('31', plain, (~attr(X,$sk16(britisch__1_1,c1103,grossbritannien_0)) | name(X,grossbritannien_0)),
% 0.20/0.59 inference(resolution,[then_simplify],['7','27','30'])).
% 0.20/0.59 cnf('32', plain, (name($sk15(britisch__1_1,c1103,grossbritannien_0),grossbritannien_0)),
% 0.20/0.59 inference(resolution,[],['24','31'])).
% 0.20/0.59 cnf('33', plain, (attr($sk15(britisch__1_1,c1103,grossbritannien_0),$sk3($sk15(britisch__1_1,c1103,grossbritannien_0),grossbritannien_0))),
% 0.20/0.59 inference(resolution,[],['32','13'])).
% 0.20/0.59 cnf('34', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.20/0.59 cnf('35', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.59 cnf('36', plain, (sub(c1022,firma_1_1)),
% 0.20/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1168_$sk'])).
% 0.20/0.59 cnf('37', plain, (arg2($sk6(c1022,firma_1_1),firma_1_1)),
% 0.20/0.59 inference(resolution,[],['35','36'])).
% 0.20/0.59 cnf('38', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.59 cnf('39', plain, (subr($sk6(c1022,firma_1_1),sub_0)),
% 0.20/0.59 inference(resolution,[],['38','36'])).
% 0.20/0.59 cnf('40', plain, (obj($sk9(X,$sk6(c1022,firma_1_1),firma_1_1),X) | ~arg1($sk6(c1022,firma_1_1),X)),
% 0.20/0.59 inference(resolution,[then_simplify],['34','37','39'])).
% 0.20/0.59 cnf('41', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.20/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.59 cnf('42', plain, (arg1($sk6(c1022,firma_1_1),c1022)),
% 0.20/0.59 inference(resolution,[],['41','36'])).
% 0.20/0.59 cnf('43', plain, (obj($sk9(c1022,$sk6(c1022,firma_1_1),firma_1_1),c1022)),
% 0.20/0.59 inference(resolution,[],['40','42'])).
% 0.20/0.59 cnf('44', plain, ($false),
% 0.20/0.59 inference(resolution,[then_simplify],['19','33','43'])).
% 0.20/0.59
% 0.20/0.59 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.59
% 0.20/0.59 run 7 fork 6 statistics:
% 0.20/0.59 ----------------------------------
% 0.20/0.59 this run seconds: 0.082616
% 0.20/0.59 total seconds: 0.126058
% 0.20/0.59 stat_given_used: 2055
% 0.20/0.59 stat_given_used_at_endgame: 0
% 0.20/0.59 stat_given_candidates: 2565
% 0.20/0.59 stat_given_candidates_at_endgame: 0
% 0.20/0.59 stat_given_candidates_h: 0
% 0.20/0.59 stat_binres_derived_cl: 4465
% 0.20/0.59 stat_binres_derived_cl_h: 0
% 0.20/0.59 stat_factor_derived_cl: 9
% 0.20/0.59 stat_para_derived_cl: 0
% 0.20/0.59 stat_tautologies_discarded: 3
% 0.20/0.59 stat_forward_subsumed: 106
% 0.20/0.59 stat_derived_cut: 562
% 0.20/0.59 stat_derived_rewritten: 0
% 0.20/0.59 stat_weight_discarded_building: 0
% 0.20/0.59 stat_weight_discarded_cl: 1835
% 0.20/0.59 stat_internlimit_discarded_cl: 0
% 0.20/0.59 stat_simplified: 0 simplified 0 derived 0 given
% 0.20/0.59 stat_kept_cl: 2529
% 0.20/0.59 stat_built_cl: 8474
% 0.20/0.59 stat_hyperres_partial_cl: 0
% 0.20/0.59 stat_made_rewriters: 0
% 0.20/0.59 stat_backward_subsumed: 0
% 0.20/0.59 stat_propagated_subsumed: 0
% 0.20/0.59 stat_clsubs_attempted: 12523
% 0.20/0.59 stat_clsubs_fact_groundunit_found: 336
% 0.20/0.59 stat_clsubs_rule_groundunit_found: 0
% 0.20/0.59 stat_clsubs_top_meta_attempted: 1063325
% 0.20/0.59 stat_clsubs_top_meta_failed: 1050802
% 0.20/0.59 stat_clsubs_top_meta_nonpref_attempted: 1063325
% 0.20/0.59 stat_clsubs_top_meta_nonpref_succeeded: 491677
% 0.20/0.59 stat_clsubs_top_meta_pref_attempted: 491677
% 0.20/0.59 stat_clsubs_top_meta_pref1_succeeded: 29785
% 0.20/0.59 stat_clsubs_top_meta_pref2_succeeded: 14427
% 0.20/0.59 stat_clsubs_top_meta_pref3_succeeded: 12523
% 0.20/0.59 stat_clsubs_top_meta_pref_succeeded: 12523
% 0.20/0.59 stat_clsubs_meta_attempted: 20239
% 0.20/0.59 stat_clsubs_meta_failed: 8716
% 0.20/0.59 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.59 stat_clsubs_unit_attempted: 317
% 0.20/0.59 stat_clsubs_full_attempted: 12206
% 0.20/0.59 stat_forwardsubs_attempted: 4471
% 0.20/0.59 stat_lit_hash_added: 3836
% 0.20/0.59 stat_lit_hash_computed: 35072
% 0.20/0.59 stat_lit_hash_match_found: 1015
% 0.20/0.59 stat_lit_hash_match_miss: 45129
% 0.20/0.59 stat_lit_hash_cut_ok: 573
% 0.20/0.59 stat_lit_strong_cut_ok: 1
% 0.20/0.59 stat_lit_hash_subsume_ok: 106
% 0.20/0.59 clqueue els 10000000 used 1
% 0.20/0.59 clactive els 10000000 used 2056
% 0.20/0.59 clactivesubsume els 10000000 used 7585
% 0.20/0.59 queue_termbuf els 200000000 used 131358
% 0.20/0.59 hyper_termbuf els 100000000 used 1
% 0.20/0.59 active_termbuf els 100000000 used 49825
% 0.20/0.59 varstack els 5000 last used 1
% 0.20/0.59 given_termbuf els 10000000 last used 1
% 0.20/0.59 simplified_termbuf els 10000000 last used 1
% 0.20/0.59 derived_termbuf els 10000000 last used 22
% 0.20/0.59 wr_mallocs: 16664
% 0.20/0.59 wr_callocs: 21
% 0.20/0.59 wr_reallocs: 730
% 0.20/0.59 wr_frees: 4
% 0.20/0.59 wr_malloc_bytes: 4163177748
% 0.20/0.59 wr_calloc_bytes: 112065536
% 0.20/0.59 wr_realloc_bytes: 765640
% 0.20/0.59 wr_realloc_freebytes: 0
% 0.20/0.59 ----------------------------------
%------------------------------------------------------------------------------