%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+6 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n002.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 21:24:35 EDT 2023
% Result : Theorem 0.15s 0.55s
% Output : CNFRefutation 0.15s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.08/0.11 % Problem : CSR115+6 : TPTP v8.1.2. Released v4.0.0.
% 0.09/0.11 % Command : gkc %s
% 0.10/0.32 % Computer : n002.cluster.edu
% 0.10/0.32 % Model : x86_64 x86_64
% 0.10/0.32 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.10/0.32 % Memory : 8042.1875MB
% 0.10/0.32 % OS : Linux 3.10.0-693.el7.x86_64
% 0.10/0.32 % CPULimit : 300
% 0.10/0.32 % WCLimit : 300
% 0.10/0.32 % DateTime : Mon Aug 28 10:34:04 EDT 2023
% 0.10/0.32 % CPUTime :
% 0.15/0.44
% 0.15/0.44 input clause set summed statistics:
% 0.15/0.44 ----------------------------------
% 0.15/0.44 in_clause_count: 10736
% 0.15/0.44 in_rule_clause_count: 336
% 0.15/0.44 in_fact_clause_count: 10400
% 0.15/0.44 in_answer_clause_count: 0
% 0.15/0.44 in_ground_clause_count: 10400
% 0.15/0.44 in_unit_clause_count: 10402
% 0.15/0.44 in_horn_clause_count: 10726
% 0.15/0.44 in_pos_clause_count: 10406
% 0.15/0.44 in_neg_clause_count: 11
% 0.15/0.44 in_poseq_clause_count: 0
% 0.15/0.44 in_negeq_clause_count: 0
% 0.15/0.44 in_unitposeq_clause_count: 0
% 0.15/0.44 in_chain_clause_count: 0
% 0.15/0.44 in_min_length: 1
% 0.15/0.44 in_max_length: 8
% 0.15/0.44 in_min_depth: 1
% 0.15/0.44 in_max_depth: 5
% 0.15/0.44 in_min_size: 3
% 0.15/0.44 in_max_size: 30
% 0.15/0.44 in_min_vars: 0
% 0.15/0.44 in_max_vars: 7
% 0.15/0.44 in_extaxiom_count: 10394
% 0.15/0.44 in_axiom_count: 0
% 0.15/0.44 in_assumption_count: 341
% 0.15/0.44 in_goal_count: 1
% 0.15/0.44 in_neg_goal_count: 1
% 0.15/0.44 in_pos_goal_count: 0
% 0.15/0.44 in_posunit_goal_count: 0
% 0.15/0.44
% 0.15/0.44 auto guide:
% 0.15/0.44 -----------
% 0.15/0.44 {
% 0.15/0.44 "print":1,
% 0.15/0.44 "print_level": 15,
% 0.15/0.44 "max_size": 0,
% 0.15/0.44 "max_depth": 0,
% 0.15/0.44 "max_length": 0,
% 0.15/0.44 "max_dseconds": 0,
% 0.15/0.44 "equality":0,
% 0.15/0.44 "runs":[
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.15/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.15/0.44 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.15/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.15/0.44 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.15/0.44 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.15/0.44 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.15/0.44 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.15/0.44 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.15/0.44 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.15/0.44 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.15/0.44
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.15/0.44 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.15/0.44 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.15/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.15/0.44 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.15/0.44 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.15/0.44 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.15/0.44 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.15/0.44 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.15/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.15/0.44 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.15/0.44 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.15/0.44 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.15/0.44
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.44 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.15/0.44 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.15/0.44 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.15/0.44 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.15/0.44 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.15/0.44 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.15/0.44 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.15/0.44 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.15/0.44 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.44 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.15/0.44 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.15/0.44 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.15/0.44
% 0.15/0.44 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.44 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.44 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.44 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.15/0.44
% 0.15/0.44 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.44 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.44 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.44 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.44 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.44 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.15/0.44
% 0.15/0.44 ]}
% 0.15/0.44
% 0.15/0.44
% 0.15/0.44 **** run 1 fork 0 starts with strategy
% 0.15/0.44 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.15/0.44
% 0.15/0.44 **** run 2 fork 1 starts with strategy
% 0.15/0.44 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.15/0.44
% 0.15/0.44 **** run 3 fork 2 starts with strategy
% 0.15/0.44 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.15/0.44
% 0.15/0.44 **** run 4 fork 3 starts with strategy
% 0.15/0.44 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.15/0.44
% 0.15/0.44 **** run 5 fork 4 starts with strategy
% 0.15/0.44 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.15/0.44
% 0.15/0.44 **** run 7 fork 6 starts with strategy
% 0.15/0.44 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.15/0.44
% 0.15/0.44 **** run 6 fork 5 starts with strategy
% 0.15/0.44 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.15/0.45
% 0.15/0.45 **** run 8 fork 7 starts with strategy
% 0.15/0.45 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.15/0.55
% 0.15/0.55
% 0.15/0.55 result: proof found
% 0.15/0.55 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.15/0.55 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.15/0.55 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.15/0.55
% 0.15/0.55 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.15/0.55 fof('synth_qa07_007_mira_news_1094_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X1,name_1_1) | (~obj(X6,X5) | (~attr(X2,X3) | (~attr(X4,X7) | ~attr(X5,X1)))))))),
% 0.15/0.55 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1094'])).
% 0.15/0.55 fof('synth_qa07_007_mira_news_1094', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : (((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.15/0.55 input).
% 0.15/0.55 fof('ave07_era5_synth_qa07_007_mira_news_1094_$sk', plain, (varia(marke_1_1,varia_c) & (refer(marke_1_1,refer_c) & (quant(marke_1_1,one) & (gener(marke_1_1,ge) & (fact(marke_1_1,real) & (etype(marke_1_1,int0) & (card(marke_1_1,int1) & (sort(marke_1_1,oa) & (sort(marke_1_1,io) & (varia(luxus__1_1,varia_c) & (refer(luxus__1_1,refer_c) & (quant(luxus__1_1,one) & (gener(luxus__1_1,ge) & (fact(luxus__1_1,real) & (etype(luxus__1_1,int0) & (card(luxus__1_1,int1) & (sort(luxus__1_1,io) & (varia(c55669,varia_c) & (refer(c55669,det) & (quant(c55669,one) & (gener(c55669,sp) & (fact(c55669,real) & (etype(c55669,int0) & (card(c55669,int1) & (sort(c55669,o) & (varia(c56046,varia_c) & (refer(c56046,refer_c) & (quant(c56046,quant_c) & (gener(c56046,gener_c) & (fact(c56046,real) & (etype(c56046,etype_c) & (card(c56046,card_c) & (sort(c56046,ent) & (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(c56025,varia_c) & (refer(c56025,indet) & (quant(c56025,one) & (gener(c56025,sp) & (fact(c56025,real) & (etype(c56025,int0) & (card(c56025,int1) & (sort(c56025,na) & (varia(c56024,con) & (refer(c56024,det) & (quant(c56024,one) & (gener(c56024,sp) & (fact(c56024,real) & (etype(c56024,int0) & (card(c56024,int1) & (sort(c56024,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(c56020,varia_c) & (refer(c56020,indet) & (quant(c56020,one) & (gener(c56020,sp) & (fact(c56020,real) & (etype(c56020,int0) & (card(c56020,int1) & (sort(c56020,na) & (varia(c56019,con) & (refer(c56019,det) & (quant(c56019,one) & (gener(c56019,sp) & (fact(c56019,real) & (etype(c56019,int0) & (card(c56019,int1) & (sort(c56019,d) & (varia(luxusmarke_1_1,varia_c) & (refer(luxusmarke_1_1,refer_c) & (quant(luxusmarke_1_1,one) & (gener(luxusmarke_1_1,ge) & (fact(luxusmarke_1_1,real) & (etype(luxusmarke_1_1,int0) & (card(luxusmarke_1_1,int1) & (sort(luxusmarke_1_1,oa) & (sort(luxusmarke_1_1,io) & (varia(c56008,con) & (refer(c56008,det) & (quant(c56008,one) & (gener(c56008,sp) & (fact(c56008,real) & (etype(c56008,int0) & (card(c56008,int1) & (sort(c56008,oa) & (sort(c56008,io) & (varia(c55999,con) & (refer(c55999,det) & (quant(c55999,one) & (gener(c55999,sp) & (fact(c55999,real) & (etype(c55999,int0) & (card(c55999,int1) & (sort(c55999,ad) & (varia(interesse_1_1,varia_c) & (refer(interesse_1_1,refer_c) & (quant(interesse_1_1,one) & (gener(interesse_1_1,ge) & (fact(interesse_1_1,real) & (etype(interesse_1_1,int0) & (card(interesse_1_1,int1) & (sort(interesse_1_1,as) & (varia(c55995,varia_c) & (refer(c55995,refer_c) & (quant(c55995,one) & (gener(c55995,gener_c) & (fact(c55995,real) & (etype(c55995,int0) & (card(c55995,int1) & (sort(c55995,as) & (sort(rover_0,fe) & (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) & (sort(britisch__1_1,nq) & (varia(c55987,varia_c) & (refer(c55987,indet) & (quant(c55987,one) & (gener(c55987,sp) & (fact(c55987,real) & (etype(c55987,int0) & (card(c55987,int1) & (sort(c55987,na) & (varia(c55986,con) & (refer(c55986,det) & (quant(c55986,one) & (gener(c55986,sp) & (fact(c55986,real) & (etype(c55986,int0) & (card(c55986,int1) & (sort(c55986,io) & (sort(c55986,d) & (varia(ankauf__1_1,varia_c) & (refer(ankauf__1_1,refer_c) & (quant(ankauf__1_1,one) & (gener(ankauf__1_1,ge) & (fact(ankauf__1_1,real) & (etype(ankauf__1_1,int0) & (card(ankauf__1_1,int1) & (sort(ankauf__1_1,ad) & (varia(c55693,con) & (refer(c55693,det) & (quant(c55693,one) & (gener(c55693,sp) & (fact(c55693,real) & (etype(c55693,int0) & (card(c55693,int1) & (sort(c55693,ad) & (varia(woche_1_1,varia_c) & (refer(woche_1_1,refer_c) & (quant(woche_1_1,quant_c) & (gener(woche_1_1,ge) & (fact(woche_1_1,real) & (etype(woche_1_1,etype_c) & (card(woche_1_1,card_c) & (sort(woche_1_1,ta) & (sort(woche_1_1,oa) & (sort(woche_1_1,me) & (sort(pass__351_1_1,tq) & (varia(c55687,con) & (refer(c55687,det) & (quant(c55687,quant_c) & (gener(c55687,sp) & (fact(c55687,real) & (etype(c55687,etype_c) & (card(c55687,card_c) & (sort(c55687,ta) & (sort(c55687,oa) & (sort(c55687,me) & (sort(bmw_0,fe) & (sort(bundesdeutsch_1_1,tq) & (varia(c55668,varia_c) & (refer(c55668,indet) & (quant(c55668,one) & (gener(c55668,sp) & (fact(c55668,real) & (etype(c55668,int0) & (card(c55668,int1) & (sort(c55668,na) & (varia(c55667,con) & (refer(c55667,det) & (quant(c55667,one) & (gener(c55667,sp) & (fact(c55667,real) & (etype(c55667,int0) & (card(c55667,int1) & (sort(c55667,io) & (sort(c55667,d) & (varia(c34,varia_c) & (refer(c34,refer_c) & (quant(c34,quant_c) & (gener(c34,gener_c) & (fact(c34,real) & (etype(c34,etype_c) & (card(c34,card_c) & (sort(c34,ent) & (varia(feb_1_1,varia_c) & (refer(feb_1_1,refer_c) & (quant(feb_1_1,one) & (gener(feb_1_1,ge) & (fact(feb_1_1,real) & (etype(feb_1_1,int0) & (card(feb_1_1,int1) & (sort(feb_1_1,o) & (varia(c21,varia_c) & (refer(c21,refer_c) & (quant(c21,one) & (gener(c21,gener_c) & (fact(c21,real) & (etype(c21,int0) & (card(c21,int1) & (sort(c21,o) & (sort(london_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(stadt__1_1,varia_c) & (refer(stadt__1_1,refer_c) & (quant(stadt__1_1,one) & (gener(stadt__1_1,ge) & (fact(stadt__1_1,real) & (etype(stadt__1_1,int0) & (card(stadt__1_1,int1) & (sort(stadt__1_1,io) & (sort(stadt__1_1,d) & (varia(c19,varia_c) & (refer(c19,indet) & (quant(c19,one) & (gener(c19,sp) & (fact(c19,real) & (etype(c19,int0) & (card(c19,int1) & (sort(c19,na) & (varia(c18,con) & (refer(c18,det) & (quant(c18,one) & (gener(c18,sp) & (fact(c18,real) & (etype(c18,int0) & (card(c18,int1) & (sort(c18,io) & (sort(c18,d) & (varia(firmengruppe_1_1,varia_c) & (refer(firmengruppe_1_1,refer_c) & (quant(firmengruppe_1_1,one) & (gener(firmengruppe_1_1,ge) & (fact(firmengruppe_1_1,real) & (etype(firmengruppe_1_1,int0) & (card(firmengruppe_1_1,int1) & (sort(firmengruppe_1_1,io) & (sort(firmengruppe_1_1,d) & (varia(auto__1_1,varia_c) & (refer(auto__1_1,refer_c) & (quant(auto__1_1,one) & (gener(auto__1_1,ge) & (fact(auto__1_1,real) & (etype(auto__1_1,int0) & (card(auto__1_1,int1) & (sort(auto__1_1,d) & (varia(autokonzern_1_1,varia_c) & (refer(autokonzern_1_1,refer_c) & (quant(autokonzern_1_1,one) & (gener(autokonzern_1_1,ge) & (fact(autokonzern_1_1,real) & (etype(autokonzern_1_1,int0) & (card(autokonzern_1_1,int1) & (sort(autokonzern_1_1,io) & (sort(autokonzern_1_1,d) & (sub(luxusmarke_1_1,marke_1_1) & (assoc(luxusmarke_1_1,luxus__1_1) & (tupl_p8(c56046,c55667,c55669,c55687,c55693,c55995,c55999,c56024) & (val(c56025,royce_0) & (sub(c56025,eigenname_1_1) & (sub(c56024,mensch_1_1) & (attr(c56024,c56025) & (val(c56020,roll_0) & (sub(c56020,familiename_1_1) & (sub(c56019,mensch_1_1) & (attr(c56019,c56020) & (attr(c56019,c56008) & (sub(c56008,luxusmarke_1_1) & (prop(c56008,britisch__1_1) & (attch(c56008,c55999) & (subs(c55999,ankauf__1_1) & (subs(c55995,interesse_1_1) & (val(c55987,rover_0) & (sub(c55987,name_1_1) & (sub(c55986,firma_1_1) & (prop(c55986,britisch__1_1) & (attr(c55986,c55987) & (attch(c55986,c55693) & (subs(c55693,ankauf__1_1) & (sub(c55687,woche_1_1) & (prop(c55687,pass__351_1_1) & (val(c55668,bmw_0) & (sub(c55668,name_1_1) & (sub(c55667,autokonzern_1_1) & (prop(c55667,bundesdeutsch_1_1) & (attr(c55667,c55668) & (tupl(c34,c18,c21) & (sub(c21,feb_1_1) & (val(c19,london_0) & (sub(c19,name_1_1) & (sub(c18,stadt__1_1) & (attr(c18,c19) & (sub(autokonzern_1_1,firmengruppe_1_1) & assoc(autokonzern_1_1,auto__1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.15/0.55 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1094'])).
% 0.15/0.55 fof('ave07_era5_synth_qa07_007_mira_news_1094', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autokonzern_1_1,auto__1_1) & sub(autokonzern_1_1,firmengruppe_1_1)) & attr(c18,c19)) & sub(c18,stadt__1_1)) & sub(c19,name_1_1)) & val(c19,london_0)) & sub(c21,feb_1_1)) & tupl(c34,c18,c21)) & attr(c55667,c55668)) & prop(c55667,bundesdeutsch_1_1)) & sub(c55667,autokonzern_1_1)) & sub(c55668,name_1_1)) & val(c55668,bmw_0)) & prop(c55687,pass__351_1_1)) & sub(c55687,woche_1_1)) & subs(c55693,ankauf__1_1)) & attch(c55986,c55693)) & attr(c55986,c55987)) & prop(c55986,britisch__1_1)) & sub(c55986,firma_1_1)) & sub(c55987,name_1_1)) & val(c55987,rover_0)) & subs(c55995,interesse_1_1)) & subs(c55999,ankauf__1_1)) & attch(c56008,c55999)) & prop(c56008,britisch__1_1)) & sub(c56008,luxusmarke_1_1)) & attr(c56019,c56008)) & attr(c56019,c56020)) & sub(c56019,mensch_1_1)) & sub(c56020,familiename_1_1)) & val(c56020,roll_0)) & attr(c56024,c56025)) & sub(c56024,mensch_1_1)) & sub(c56025,eigenname_1_1)) & val(c56025,royce_0)) & tupl_p8(c56046,c55667,c55669,c55687,c55693,c55995,c55999,c56024)) & assoc(luxusmarke_1_1,luxus__1_1)) & sub(luxusmarke_1_1,marke_1_1)) & sort(autokonzern_1_1,d)) & sort(autokonzern_1_1,io)) & card(autokonzern_1_1,int1)) & etype(autokonzern_1_1,int0)) & fact(autokonzern_1_1,real)) & gener(autokonzern_1_1,ge)) & quant(autokonzern_1_1,one)) & refer(autokonzern_1_1,refer_c)) & varia(autokonzern_1_1,varia_c)) & sort(auto__1_1,d)) & card(auto__1_1,int1)) & etype(auto__1_1,int0)) & fact(auto__1_1,real)) & gener(auto__1_1,ge)) & quant(auto__1_1,one)) & refer(auto__1_1,refer_c)) & varia(auto__1_1,varia_c)) & sort(firmengruppe_1_1,d)) & sort(firmengruppe_1_1,io)) & card(firmengruppe_1_1,int1)) & etype(firmengruppe_1_1,int0)) & fact(firmengruppe_1_1,real)) & gener(firmengruppe_1_1,ge)) & quant(firmengruppe_1_1,one)) & refer(firmengruppe_1_1,refer_c)) & varia(firmengruppe_1_1,varia_c)) & sort(c18,d)) & sort(c18,io)) & card(c18,int1)) & etype(c18,int0)) & fact(c18,real)) & gener(c18,sp)) & quant(c18,one)) & refer(c18,det)) & varia(c18,con)) & sort(c19,na)) & card(c19,int1)) & etype(c19,int0)) & fact(c19,real)) & gener(c19,sp)) & quant(c19,one)) & refer(c19,indet)) & varia(c19,varia_c)) & sort(stadt__1_1,d)) & sort(stadt__1_1,io)) & card(stadt__1_1,int1)) & etype(stadt__1_1,int0)) & fact(stadt__1_1,real)) & gener(stadt__1_1,ge)) & quant(stadt__1_1,one)) & refer(stadt__1_1,refer_c)) & varia(stadt__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(london_0,fe)) & sort(c21,o)) & card(c21,int1)) & etype(c21,int0)) & fact(c21,real)) & gener(c21,gener_c)) & quant(c21,one)) & refer(c21,refer_c)) & varia(c21,varia_c)) & sort(feb_1_1,o)) & card(feb_1_1,int1)) & etype(feb_1_1,int0)) & fact(feb_1_1,real)) & gener(feb_1_1,ge)) & quant(feb_1_1,one)) & refer(feb_1_1,refer_c)) & varia(feb_1_1,varia_c)) & sort(c34,ent)) & card(c34,card_c)) & etype(c34,etype_c)) & fact(c34,real)) & gener(c34,gener_c)) & quant(c34,quant_c)) & refer(c34,refer_c)) & varia(c34,varia_c)) & sort(c55667,d)) & sort(c55667,io)) & card(c55667,int1)) & etype(c55667,int0)) & fact(c55667,real)) & gener(c55667,sp)) & quant(c55667,one)) & refer(c55667,det)) & varia(c55667,con)) & sort(c55668,na)) & card(c55668,int1)) & etype(c55668,int0)) & fact(c55668,real)) & gener(c55668,sp)) & quant(c55668,one)) & refer(c55668,indet)) & varia(c55668,varia_c)) & sort(bundesdeutsch_1_1,tq)) & sort(bmw_0,fe)) & sort(c55687,me)) & sort(c55687,oa)) & sort(c55687,ta)) & card(c55687,card_c)) & etype(c55687,etype_c)) & fact(c55687,real)) & gener(c55687,sp)) & quant(c55687,quant_c)) & refer(c55687,det)) & varia(c55687,con)) & sort(pass__351_1_1,tq)) & sort(woche_1_1,me)) & sort(woche_1_1,oa)) & sort(woche_1_1,ta)) & card(woche_1_1,card_c)) & etype(woche_1_1,etype_c)) & fact(woche_1_1,real)) & gener(woche_1_1,ge)) & quant(woche_1_1,quant_c)) & refer(woche_1_1,refer_c)) & varia(woche_1_1,varia_c)) & sort(c55693,ad)) & card(c55693,int1)) & etype(c55693,int0)) & fact(c55693,real)) & gener(c55693,sp)) & quant(c55693,one)) & refer(c55693,det)) & varia(c55693,con)) & sort(ankauf__1_1,ad)) & card(ankauf__1_1,int1)) & etype(ankauf__1_1,int0)) & fact(ankauf__1_1,real)) & gener(ankauf__1_1,ge)) & quant(ankauf__1_1,one)) & refer(ankauf__1_1,refer_c)) & varia(ankauf__1_1,varia_c)) & sort(c55986,d)) & sort(c55986,io)) & card(c55986,int1)) & etype(c55986,int0)) & fact(c55986,real)) & gener(c55986,sp)) & quant(c55986,one)) & refer(c55986,det)) & varia(c55986,con)) & sort(c55987,na)) & card(c55987,int1)) & etype(c55987,int0)) & fact(c55987,real)) & gener(c55987,sp)) & quant(c55987,one)) & refer(c55987,indet)) & varia(c55987,varia_c)) & sort(britisch__1_1,nq)) & 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(rover_0,fe)) & sort(c55995,as)) & card(c55995,int1)) & etype(c55995,int0)) & fact(c55995,real)) & gener(c55995,gener_c)) & quant(c55995,one)) & refer(c55995,refer_c)) & varia(c55995,varia_c)) & sort(interesse_1_1,as)) & card(interesse_1_1,int1)) & etype(interesse_1_1,int0)) & fact(interesse_1_1,real)) & gener(interesse_1_1,ge)) & quant(interesse_1_1,one)) & refer(interesse_1_1,refer_c)) & varia(interesse_1_1,varia_c)) & sort(c55999,ad)) & card(c55999,int1)) & etype(c55999,int0)) & fact(c55999,real)) & gener(c55999,sp)) & quant(c55999,one)) & refer(c55999,det)) & varia(c55999,con)) & sort(c56008,io)) & sort(c56008,oa)) & card(c56008,int1)) & etype(c56008,int0)) & fact(c56008,real)) & gener(c56008,sp)) & quant(c56008,one)) & refer(c56008,det)) & varia(c56008,con)) & sort(luxusmarke_1_1,io)) & sort(luxusmarke_1_1,oa)) & card(luxusmarke_1_1,int1)) & etype(luxusmarke_1_1,int0)) & fact(luxusmarke_1_1,real)) & gener(luxusmarke_1_1,ge)) & quant(luxusmarke_1_1,one)) & refer(luxusmarke_1_1,refer_c)) & varia(luxusmarke_1_1,varia_c)) & sort(c56019,d)) & card(c56019,int1)) & etype(c56019,int0)) & fact(c56019,real)) & gener(c56019,sp)) & quant(c56019,one)) & refer(c56019,det)) & varia(c56019,con)) & sort(c56020,na)) & card(c56020,int1)) & etype(c56020,int0)) & fact(c56020,real)) & gener(c56020,sp)) & quant(c56020,one)) & refer(c56020,indet)) & varia(c56020,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(c56024,d)) & card(c56024,int1)) & etype(c56024,int0)) & fact(c56024,real)) & gener(c56024,sp)) & quant(c56024,one)) & refer(c56024,det)) & varia(c56024,con)) & sort(c56025,na)) & card(c56025,int1)) & etype(c56025,int0)) & fact(c56025,real)) & gener(c56025,sp)) & quant(c56025,one)) & refer(c56025,indet)) & varia(c56025,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(c56046,ent)) & card(c56046,card_c)) & etype(c56046,etype_c)) & fact(c56046,real)) & gener(c56046,gener_c)) & quant(c56046,quant_c)) & refer(c56046,refer_c)) & varia(c56046,varia_c)) & sort(c55669,o)) & card(c55669,int1)) & etype(c55669,int0)) & fact(c55669,real)) & gener(c55669,sp)) & quant(c55669,one)) & refer(c55669,det)) & varia(c55669,varia_c)) & sort(luxus__1_1,io)) & card(luxus__1_1,int1)) & etype(luxus__1_1,int0)) & fact(luxus__1_1,real)) & gener(luxus__1_1,ge)) & quant(luxus__1_1,one)) & refer(luxus__1_1,refer_c)) & varia(luxus__1_1,varia_c)) & sort(marke_1_1,io)) & sort(marke_1_1,oa)) & card(marke_1_1,int1)) & etype(marke_1_1,int0)) & fact(marke_1_1,real)) & gener(marke_1_1,ge)) & quant(marke_1_1,one)) & refer(marke_1_1,refer_c)) & varia(marke_1_1,varia_c)),
% 0.15/0.55 input).
% 0.15/0.55 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))),
% 0.15/0.55 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 0.15/0.55 fof('$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))))),
% 0.15/0.55 input).
% 0.15/0.55 fof('$inc_fact_8849', axiom, state_adjective_state_binding(bundesdeutsch_1_1,bundesrepublik_0),
% 0.15/0.55 input).
% 0.15/0.55 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.15/0.55 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.15/0.55 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.15/0.55 input).
% 0.15/0.55 fof('$inc_sub_sub__sub_$sk', plain, (sub(X3,X2) | (~sub(X1,X2) | ~sub(X3,X1))),
% 0.15/0.55 inference(negpush_and_skolemize,[],['$inc_sub_sub__sub'])).
% 0.15/0.55 fof('$inc_sub_sub__sub', axiom, (! [X0,X1,X2] : ((sub(X0,X1) & sub(X1,X2)) => sub(X0,X2))),
% 0.15/0.55 input).
% 0.15/0.55 fof('$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)),
% 0.15/0.55 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.15/0.55 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.15/0.55 input).
% 0.15/0.55 cnf('1', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.15/0.55 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1094_$sk'])).
% 0.15/0.55 cnf('2', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,Y) | ~sub(X,name_1_1)),
% 0.15/0.55 inference(factorization,[],['1'])).
% 0.15/0.55 cnf('3', plain, (attr(c55667,c55668)),
% 0.15/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1094_$sk'])).
% 0.15/0.55 cnf('4', plain, (val(c55668,bmw_0)),
% 0.15/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1094_$sk'])).
% 0.15/0.55 cnf('5', plain, (sub(c55668,name_1_1)),
% 0.15/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1094_$sk'])).
% 0.15/0.55 cnf('6', plain, (~attr(X,Y) | ~obj(Z,c55667)),
% 0.15/0.55 inference(resolution,[then_simplify],['2','3','4','5'])).
% 0.15/0.55 cnf('7', plain, (attr($sk15(X,Y,Z),$sk16(X,Y,Z)) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.15/0.55 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.15/0.55 cnf('8', plain, (state_adjective_state_binding(bundesdeutsch_1_1,bundesrepublik_0)),
% 0.15/0.55 inference(cnf_transformation,[],['$inc_fact_8849'])).
% 0.15/0.55 cnf('9', plain, (attr($sk15(bundesdeutsch_1_1,X,bundesrepublik_0),$sk16(bundesdeutsch_1_1,X,bundesrepublik_0)) | ~prop(X,bundesdeutsch_1_1)),
% 0.15/0.55 inference(resolution,[],['7','8'])).
% 0.15/0.55 cnf('10', plain, (prop(c55667,bundesdeutsch_1_1)),
% 0.15/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1094_$sk'])).
% 0.15/0.55 cnf('11', plain, (attr($sk15(bundesdeutsch_1_1,c55667,bundesrepublik_0),$sk16(bundesdeutsch_1_1,c55667,bundesrepublik_0))),
% 0.15/0.55 inference(resolution,[],['9','10'])).
% 0.15/0.55 cnf('12', plain, (~obj(X,c55667)),
% 0.15/0.55 inference(resolution,[],['6','11'])).
% 0.15/0.55 cnf('13', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.15/0.55 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.15/0.55 cnf('14', plain, (~subr(X,sub_0) | ~arg1(X,c55667) | ~arg2(X,Y)),
% 0.15/0.55 inference(resolution,[],['12','13'])).
% 0.15/0.55 cnf('15', plain, (~sub(X,Y) | ~sub(Z,X) | sub(Z,Y)),
% 0.15/0.55 inference(cnf_transformation,[],['$inc_sub_sub__sub_$sk'])).
% 0.15/0.55 cnf('16', plain, (sub(autokonzern_1_1,firmengruppe_1_1)),
% 0.15/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1094_$sk'])).
% 0.15/0.55 cnf('17', plain, (~sub(X,autokonzern_1_1) | sub(X,firmengruppe_1_1)),
% 0.15/0.55 inference(resolution,[],['15','16'])).
% 0.15/0.55 cnf('18', plain, (sub(c55667,autokonzern_1_1)),
% 0.15/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1094_$sk'])).
% 0.15/0.55 cnf('19', plain, (sub(c55667,firmengruppe_1_1)),
% 0.15/0.55 inference(resolution,[],['17','18'])).
% 0.15/0.55 cnf('20', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.15/0.55 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.15/0.55 cnf('21', plain, (subr($sk6(c55667,firmengruppe_1_1),sub_0)),
% 0.15/0.55 inference(resolution,[],['19','20'])).
% 0.15/0.55 cnf('22', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.15/0.55 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.15/0.55 cnf('23', plain, (arg1($sk6(c55667,firmengruppe_1_1),c55667)),
% 0.15/0.55 inference(resolution,[],['19','22'])).
% 0.15/0.55 cnf('24', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.15/0.55 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.15/0.55 cnf('25', plain, (arg2($sk6(c55667,firmengruppe_1_1),firmengruppe_1_1)),
% 0.15/0.55 inference(resolution,[],['19','24'])).
% 0.15/0.55 cnf('26', plain, ($false),
% 0.15/0.55 inference(resolution,[then_simplify],['14','21','23','25'])).
% 0.15/0.55
% 0.15/0.55 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.15/0.55
% 0.15/0.55 run 7 fork 6 statistics:
% 0.15/0.55 ----------------------------------
% 0.15/0.55 this run seconds: 0.056085
% 0.15/0.55 total seconds: 0.092912
% 0.15/0.55 stat_given_used: 2236
% 0.15/0.55 stat_given_used_at_endgame: 0
% 0.15/0.55 stat_given_candidates: 2867
% 0.15/0.55 stat_given_candidates_at_endgame: 0
% 0.15/0.55 stat_given_candidates_h: 0
% 0.15/0.55 stat_binres_derived_cl: 2764
% 0.15/0.55 stat_binres_derived_cl_h: 0
% 0.15/0.55 stat_factor_derived_cl: 10
% 0.15/0.55 stat_para_derived_cl: 0
% 0.15/0.55 stat_tautologies_discarded: 3
% 0.15/0.55 stat_forward_subsumed: 139
% 0.15/0.55 stat_derived_cut: 301
% 0.15/0.55 stat_derived_rewritten: 0
% 0.15/0.55 stat_weight_discarded_building: 0
% 0.15/0.55 stat_weight_discarded_cl: 35
% 0.15/0.55 stat_internlimit_discarded_cl: 0
% 0.15/0.55 stat_simplified: 0 simplified 0 derived 0 given
% 0.15/0.55 stat_kept_cl: 2596
% 0.15/0.55 stat_built_cl: 7103
% 0.15/0.55 stat_hyperres_partial_cl: 0
% 0.15/0.55 stat_made_rewriters: 0
% 0.15/0.55 stat_backward_subsumed: 0
% 0.15/0.55 stat_propagated_subsumed: 0
% 0.15/0.55 stat_clsubs_attempted: 8324
% 0.15/0.55 stat_clsubs_fact_groundunit_found: 434
% 0.15/0.55 stat_clsubs_rule_groundunit_found: 0
% 0.15/0.55 stat_clsubs_top_meta_attempted: 958496
% 0.15/0.55 stat_clsubs_top_meta_failed: 950172
% 0.15/0.55 stat_clsubs_top_meta_nonpref_attempted: 958496
% 0.15/0.55 stat_clsubs_top_meta_nonpref_succeeded: 545877
% 0.15/0.55 stat_clsubs_top_meta_pref_attempted: 545877
% 0.15/0.55 stat_clsubs_top_meta_pref1_succeeded: 34002
% 0.15/0.55 stat_clsubs_top_meta_pref2_succeeded: 11148
% 0.15/0.55 stat_clsubs_top_meta_pref3_succeeded: 8324
% 0.15/0.55 stat_clsubs_top_meta_pref_succeeded: 8324
% 0.15/0.55 stat_clsubs_meta_attempted: 14450
% 0.15/0.55 stat_clsubs_meta_failed: 5979
% 0.15/0.55 stat_clsubs_predsymbs_attempted: 0
% 0.15/0.55 stat_clsubs_unit_attempted: 104
% 0.15/0.55 stat_clsubs_full_attempted: 8220
% 0.15/0.55 stat_forwardsubs_attempted: 2771
% 0.15/0.55 stat_lit_hash_added: 4460
% 0.15/0.55 stat_lit_hash_computed: 24712
% 0.15/0.55 stat_lit_hash_match_found: 875
% 0.15/0.55 stat_lit_hash_match_miss: 28447
% 0.15/0.55 stat_lit_hash_cut_ok: 302
% 0.15/0.55 stat_lit_strong_cut_ok: 5
% 0.15/0.55 stat_lit_hash_subsume_ok: 139
% 0.15/0.55 clqueue els 10000000 used 1
% 0.15/0.55 clactive els 10000000 used 2237
% 0.15/0.55 clactivesubsume els 10000000 used 7483
% 0.15/0.55 queue_termbuf els 200000000 used 115206
% 0.15/0.55 hyper_termbuf els 100000000 used 1
% 0.15/0.55 active_termbuf els 100000000 used 45652
% 0.15/0.55 varstack els 5000 last used 1
% 0.15/0.55 given_termbuf els 10000000 last used 1
% 0.15/0.55 simplified_termbuf els 10000000 last used 1
% 0.15/0.55 derived_termbuf els 10000000 last used 46
% 0.15/0.55 wr_mallocs: 19527
% 0.15/0.55 wr_callocs: 21
% 0.15/0.55 wr_reallocs: 799
% 0.15/0.55 wr_frees: 4
% 0.15/0.55 wr_malloc_bytes: 4163276660
% 0.15/0.55 wr_calloc_bytes: 112065536
% 0.15/0.55 wr_realloc_bytes: 784960
% 0.15/0.55 wr_realloc_freebytes: 0
% 0.15/0.55 ----------------------------------
%------------------------------------------------------------------------------