TSTP Solution File: CSR117+1 by Metis---2.4
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- Process Solution
%------------------------------------------------------------------------------
% File : Metis---2.4
% Problem : CSR117+1 : TPTP v8.1.0. Released v4.1.0.
% Transfm : none
% Format : tptp:raw
% Command : metis --show proof --show saturation %s
% Computer : n014.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 21:58:33 EDT 2022
% Result : Theorem 0.20s 0.49s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : CSR117+1 : TPTP v8.1.0. Released v4.1.0.
% 0.07/0.13 % Command : metis --show proof --show saturation %s
% 0.14/0.33 % Computer : n014.cluster.edu
% 0.14/0.33 % Model : x86_64 x86_64
% 0.14/0.33 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.33 % Memory : 8042.1875MB
% 0.14/0.33 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.33 % CPULimit : 300
% 0.14/0.33 % WCLimit : 600
% 0.14/0.33 % DateTime : Sat Jun 11 18:16:08 EDT 2022
% 0.14/0.34 % CPUTime :
% 0.14/0.34 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 0.20/0.49 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.49
% 0.20/0.49 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.50 fof(kb_SUMO_MILO_701, axiom, (! [A] : (s__Region(A) => s__Object(A)))).
% 0.20/0.50
% 0.20/0.50 fof(kb_SUMO_MILO_6365, axiom,
% 0.20/0.50 (! [A] : (s__GeographicArea(A) => s__Region(A)))).
% 0.20/0.50
% 0.20/0.50 fof(kb_SUMO_MILO_6345, axiom,
% 0.20/0.50 (! [A] : (s__GeopoliticalArea(A) => s__GeographicArea(A)))).
% 0.20/0.50
% 0.20/0.50 fof(kb_SUMO_MILO_6428, axiom,
% 0.20/0.50 (! [A] : (s__Nation(A) => s__GeopoliticalArea(A)))).
% 0.20/0.50
% 0.20/0.50 fof(kb_SUMO_MILO_6437, axiom,
% 0.20/0.50 (! [A] : (s__City(A) => s__GeopoliticalArea(A)))).
% 0.20/0.50
% 0.20/0.50 fof(kb_SUMO_MILO_Domains_9582, axiom,
% 0.20/0.50 (! [A] : (s__BodyOfWater(A) => s__WaterArea(A)))).
% 0.20/0.50
% 0.20/0.50 fof(kb_SUMO_MILO_Domains_9679, axiom,
% 0.20/0.50 (! [A] : (s__Sea(A) => s__BodyOfWater(A)))).
% 0.20/0.50
% 0.20/0.50 fof(coastal_cities_near_water, axiom,
% 0.20/0.50 (! [City] :
% 0.20/0.50 (s__City(City) =>
% 0.20/0.50 (is_instance(City, s__CoastalCitiesClass) =>
% 0.20/0.50 ? [Sea] : (s__Sea(Sea) & s__orientation(City, Sea, s__Near)))))).
% 0.20/0.50
% 0.20/0.50 fof(flood_near_water, axiom,
% 0.20/0.50 (! [W, C] :
% 0.20/0.50 ((s__WaterArea(W) & s__City(C)) =>
% 0.20/0.50 (s__orientation(C, W, s__Near) =>
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, C))))).
% 0.20/0.50
% 0.20/0.50 fof(where, conjecture,
% 0.20/0.50 (? [City, Nation, CityLat, CityLong, CityName, CityNation, Latitude,
% 0.20/0.50 MoscowLat, MoscowLong, MoscowName, MoscowNation] :
% 0.20/0.50 (s__Object(City) & s__Object(Nation) & real(CityLat) &
% 0.20/0.50 real(CityLong) & s__SymbolicString(CityName) &
% 0.20/0.50 s__SymbolicString(CityNation) & int(Latitude) & real(MoscowLat) &
% 0.20/0.50 real(MoscowLong) & s__SymbolicString(MoscowName) &
% 0.20/0.50 s__SymbolicString(MoscowNation) &
% 0.20/0.50 is_instance(Nation, s__OECDMemberEconomiesClass) &
% 0.20/0.50 capital_city(City, Nation) & look_different(City, s__Moscow) &
% 0.20/0.50 latlong(City, CityLat, CityLong, CityName, CityNation) &
% 0.20/0.50 latlong(s__Moscow, MoscowLat, MoscowLong, MoscowName,
% 0.20/0.50 MoscowNation) & to_int(CityLat) = to_int(MoscowLat) &
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, City)))).
% 0.20/0.50
% 0.20/0.50 fof(copenhagen_coastal, axiom,
% 0.20/0.50 (is_instance(s__Copenhagen, s__CoastalCitiesClass))).
% 0.20/0.50
% 0.20/0.50 fof(s__Denmark_type, axiom, (s__Nation(s__Denmark))).
% 0.20/0.50
% 0.20/0.50 fof(s__Denmark_OECD, axiom,
% 0.20/0.50 (is_instance(s__Denmark, s__OECDMemberEconomiesClass))).
% 0.20/0.50
% 0.20/0.50 fof(s__Copenhagen_type, axiom, (s__City(s__Copenhagen))).
% 0.20/0.50
% 0.20/0.50 fof(s__Copenhagen_s__Denmark, axiom,
% 0.20/0.50 (capital_city(s__Copenhagen, s__Denmark))).
% 0.20/0.50
% 0.20/0.50 fof(copenhagen_lat_type, axiom, (real('55.67631'))).
% 0.20/0.50
% 0.20/0.50 fof(copenhagen_long_type, axiom, (real('12.569355'))).
% 0.20/0.50
% 0.20/0.50 fof(copenhagen_type, axiom, (s__SymbolicString(copenhagen))).
% 0.20/0.50
% 0.20/0.50 fof(dk_type, axiom, (s__SymbolicString(dk))).
% 0.20/0.50
% 0.20/0.50 fof(latlong_s__Copenhagen, axiom,
% 0.20/0.50 (latlong(s__Copenhagen, '55.67631', '12.569355', copenhagen, dk))).
% 0.20/0.50
% 0.20/0.50 fof(moscow_lat_type, axiom, (real('55.75695'))).
% 0.20/0.50
% 0.20/0.50 fof(moscow_long_type, axiom, (real('37.614975'))).
% 0.20/0.50
% 0.20/0.50 fof(moscow_type, axiom, (s__SymbolicString(moscow))).
% 0.20/0.50
% 0.20/0.50 fof(ru_type, axiom, (s__SymbolicString(ru))).
% 0.20/0.50
% 0.20/0.50 fof(latlong_s__Moscow, axiom,
% 0.20/0.50 (latlong(s__Moscow, '55.75695', '37.614975', moscow, ru))).
% 0.20/0.50
% 0.20/0.50 fof(s__Copenhagen_not_s__Moscow, axiom,
% 0.20/0.50 (look_different(s__Copenhagen, s__Moscow))).
% 0.20/0.50
% 0.20/0.50 fof('-35_type', axiom, (int('-35'))).
% 0.20/0.50
% 0.20/0.50 fof('55.67631_55', axiom, (to_int('55.67631') = 55)).
% 0.20/0.50
% 0.20/0.50 fof('55.75695_55', axiom, (to_int('55.75695') = 55)).
% 0.20/0.50
% 0.20/0.50 fof(subgoal_0, plain,
% 0.20/0.50 (? [City, Nation, CityLat, CityLong, CityName, CityNation, Latitude,
% 0.20/0.50 MoscowLat, MoscowLong, MoscowName, MoscowNation] :
% 0.20/0.50 (s__Object(City) & s__Object(Nation) & real(CityLat) &
% 0.20/0.50 real(CityLong) & s__SymbolicString(CityName) &
% 0.20/0.50 s__SymbolicString(CityNation) & int(Latitude) & real(MoscowLat) &
% 0.20/0.50 real(MoscowLong) & s__SymbolicString(MoscowName) &
% 0.20/0.50 s__SymbolicString(MoscowNation) &
% 0.20/0.50 is_instance(Nation, s__OECDMemberEconomiesClass) &
% 0.20/0.50 capital_city(City, Nation) & look_different(City, s__Moscow) &
% 0.20/0.50 latlong(City, CityLat, CityLong, CityName, CityNation) &
% 0.20/0.50 latlong(s__Moscow, MoscowLat, MoscowLong, MoscowName,
% 0.20/0.50 MoscowNation) & to_int(CityLat) = to_int(MoscowLat) &
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, City))),
% 0.20/0.50 inference(strip, [], [where])).
% 0.20/0.50
% 0.20/0.50 fof(negate_0_0, plain,
% 0.20/0.50 (~
% 0.20/0.50 ? [City, Nation, CityLat, CityLong, CityName, CityNation, Latitude,
% 0.20/0.50 MoscowLat, MoscowLong, MoscowName, MoscowNation] :
% 0.20/0.50 (s__Object(City) & s__Object(Nation) & real(CityLat) &
% 0.20/0.50 real(CityLong) & s__SymbolicString(CityName) &
% 0.20/0.50 s__SymbolicString(CityNation) & int(Latitude) & real(MoscowLat) &
% 0.20/0.50 real(MoscowLong) & s__SymbolicString(MoscowName) &
% 0.20/0.50 s__SymbolicString(MoscowNation) &
% 0.20/0.50 is_instance(Nation, s__OECDMemberEconomiesClass) &
% 0.20/0.50 capital_city(City, Nation) & look_different(City, s__Moscow) &
% 0.20/0.50 latlong(City, CityLat, CityLong, CityName, CityNation) &
% 0.20/0.50 latlong(s__Moscow, MoscowLat, MoscowLong, MoscowName,
% 0.20/0.50 MoscowNation) & to_int(CityLat) = to_int(MoscowLat) &
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, City))),
% 0.20/0.50 inference(negate, [], [subgoal_0])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_0, plain, (int('-35')),
% 0.20/0.50 inference(canonicalize, [], ['-35_type'])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_1, plain,
% 0.20/0.50 (is_instance(s__Denmark, s__OECDMemberEconomiesClass)),
% 0.20/0.50 inference(canonicalize, [], [s__Denmark_OECD])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_2, plain,
% 0.20/0.50 (latlong(s__Copenhagen, '55.67631', '12.569355', copenhagen, dk)),
% 0.20/0.50 inference(canonicalize, [], [latlong_s__Copenhagen])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_3, plain,
% 0.20/0.50 (latlong(s__Moscow, '55.75695', '37.614975', moscow, ru)),
% 0.20/0.50 inference(canonicalize, [], [latlong_s__Moscow])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_4, plain,
% 0.20/0.50 (! [City, CityLat, CityLong, CityName, CityNation, Latitude, MoscowLat,
% 0.20/0.50 MoscowLong, MoscowName, MoscowNation, Nation] :
% 0.20/0.50 (to_int(CityLat) != to_int(MoscowLat) |
% 0.20/0.50 ~ capital_city(City, Nation) | ~ int(Latitude) |
% 0.20/0.50 ~ is_instance(Nation, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(City, CityLat, CityLong, CityName, CityNation) |
% 0.20/0.50 ~
% 0.20/0.50 latlong(s__Moscow, MoscowLat, MoscowLong, MoscowName,
% 0.20/0.50 MoscowNation) | ~ look_different(City, s__Moscow) |
% 0.20/0.50 ~ real(CityLat) | ~ real(CityLong) | ~ real(MoscowLat) |
% 0.20/0.50 ~ real(MoscowLong) | ~ s__Object(City) | ~ s__Object(Nation) |
% 0.20/0.50 ~ s__SymbolicString(CityName) | ~ s__SymbolicString(CityNation) |
% 0.20/0.50 ~ s__SymbolicString(MoscowName) |
% 0.20/0.50 ~ s__SymbolicString(MoscowNation) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, City))),
% 0.20/0.50 inference(canonicalize, [], [negate_0_0])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_5, plain,
% 0.20/0.50 (! [City, CityLat, CityLong, CityName, CityNation, Latitude, MoscowLat,
% 0.20/0.50 MoscowLong, MoscowName, MoscowNation, Nation] :
% 0.20/0.50 (to_int(CityLat) != to_int(MoscowLat) |
% 0.20/0.50 ~ capital_city(City, Nation) | ~ int(Latitude) |
% 0.20/0.50 ~ is_instance(Nation, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(City, CityLat, CityLong, CityName, CityNation) |
% 0.20/0.50 ~
% 0.20/0.50 latlong(s__Moscow, MoscowLat, MoscowLong, MoscowName,
% 0.20/0.50 MoscowNation) | ~ look_different(City, s__Moscow) |
% 0.20/0.50 ~ real(CityLat) | ~ real(CityLong) | ~ real(MoscowLat) |
% 0.20/0.50 ~ real(MoscowLong) | ~ s__Object(City) | ~ s__Object(Nation) |
% 0.20/0.50 ~ s__SymbolicString(CityName) | ~ s__SymbolicString(CityNation) |
% 0.20/0.50 ~ s__SymbolicString(MoscowName) |
% 0.20/0.50 ~ s__SymbolicString(MoscowNation) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, City))),
% 0.20/0.50 inference(specialize, [], [normalize_0_4])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_6, plain, (to_int('55.75695') = 55),
% 0.20/0.50 inference(canonicalize, [], ['55.75695_55'])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_7, plain, (real('37.614975')),
% 0.20/0.50 inference(canonicalize, [], [moscow_long_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_8, plain, (real('55.75695')),
% 0.20/0.50 inference(canonicalize, [], [moscow_lat_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_9, plain, (s__SymbolicString(moscow)),
% 0.20/0.50 inference(canonicalize, [], [moscow_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_10, plain, (s__SymbolicString(ru)),
% 0.20/0.50 inference(canonicalize, [], [ru_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_11, plain, (to_int('55.67631') = 55),
% 0.20/0.50 inference(canonicalize, [], ['55.67631_55'])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_12, plain, (look_different(s__Copenhagen, s__Moscow)),
% 0.20/0.50 inference(canonicalize, [], [s__Copenhagen_not_s__Moscow])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_13, plain, (real('12.569355')),
% 0.20/0.50 inference(canonicalize, [], [copenhagen_long_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_14, plain, (real('55.67631')),
% 0.20/0.50 inference(canonicalize, [], [copenhagen_lat_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_15, plain, (! [A] : (~ s__Region(A) | s__Object(A))),
% 0.20/0.50 inference(canonicalize, [], [kb_SUMO_MILO_701])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_16, plain, (! [A] : (~ s__Region(A) | s__Object(A))),
% 0.20/0.50 inference(specialize, [], [normalize_0_15])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_17, plain,
% 0.20/0.50 (! [A] : (~ s__GeographicArea(A) | s__Region(A))),
% 0.20/0.50 inference(canonicalize, [], [kb_SUMO_MILO_6365])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_18, plain,
% 0.20/0.50 (! [A] : (~ s__GeographicArea(A) | s__Region(A))),
% 0.20/0.50 inference(specialize, [], [normalize_0_17])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_19, plain, (s__City(s__Copenhagen)),
% 0.20/0.50 inference(canonicalize, [], [s__Copenhagen_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_20, plain,
% 0.20/0.50 (! [A] : (~ s__City(A) | s__GeopoliticalArea(A))),
% 0.20/0.50 inference(canonicalize, [], [kb_SUMO_MILO_6437])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_21, plain,
% 0.20/0.50 (! [A] : (~ s__City(A) | s__GeopoliticalArea(A))),
% 0.20/0.50 inference(specialize, [], [normalize_0_20])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_22, plain,
% 0.20/0.50 (! [A] : (~ s__GeopoliticalArea(A) | s__GeographicArea(A))),
% 0.20/0.50 inference(canonicalize, [], [kb_SUMO_MILO_6345])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_23, plain,
% 0.20/0.50 (! [A] : (~ s__GeopoliticalArea(A) | s__GeographicArea(A))),
% 0.20/0.50 inference(specialize, [], [normalize_0_22])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_24, plain, (s__SymbolicString(copenhagen)),
% 0.20/0.50 inference(canonicalize, [], [copenhagen_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_25, plain, (s__SymbolicString(dk)),
% 0.20/0.50 inference(canonicalize, [], [dk_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_26, plain,
% 0.20/0.50 (is_instance(s__Copenhagen, s__CoastalCitiesClass)),
% 0.20/0.50 inference(canonicalize, [], [copenhagen_coastal])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_27, plain,
% 0.20/0.50 (! [City] :
% 0.20/0.50 (~ is_instance(City, s__CoastalCitiesClass) | ~ s__City(City) |
% 0.20/0.50 ? [Sea] : (s__Sea(Sea) & s__orientation(City, Sea, s__Near)))),
% 0.20/0.50 inference(canonicalize, [], [coastal_cities_near_water])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_28, plain,
% 0.20/0.50 (! [City] :
% 0.20/0.50 (~ is_instance(City, s__CoastalCitiesClass) | ~ s__City(City) |
% 0.20/0.50 ? [Sea] : (s__Sea(Sea) & s__orientation(City, Sea, s__Near)))),
% 0.20/0.50 inference(specialize, [], [normalize_0_27])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_29, plain,
% 0.20/0.50 (! [City] :
% 0.20/0.50 ((~ is_instance(City, s__CoastalCitiesClass) | ~ s__City(City) |
% 0.20/0.50 s__Sea(skolemFOFtoCNF_Sea(City))) &
% 0.20/0.50 (~ is_instance(City, s__CoastalCitiesClass) | ~ s__City(City) |
% 0.20/0.50 s__orientation(City, skolemFOFtoCNF_Sea(City), s__Near)))),
% 0.20/0.50 inference(clausify, [], [normalize_0_28])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_30, plain,
% 0.20/0.50 (! [City] :
% 0.20/0.50 (~ is_instance(City, s__CoastalCitiesClass) | ~ s__City(City) |
% 0.20/0.50 s__orientation(City, skolemFOFtoCNF_Sea(City), s__Near))),
% 0.20/0.50 inference(conjunct, [], [normalize_0_29])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_31, plain,
% 0.20/0.50 (! [C, W] :
% 0.20/0.50 (~ s__City(C) | ~ s__WaterArea(W) |
% 0.20/0.50 ~ s__orientation(C, W, s__Near) |
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, C))),
% 0.20/0.50 inference(canonicalize, [], [flood_near_water])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_32, plain,
% 0.20/0.50 (! [C, W] :
% 0.20/0.50 (~ s__City(C) | ~ s__WaterArea(W) |
% 0.20/0.50 ~ s__orientation(C, W, s__Near) |
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, C))),
% 0.20/0.50 inference(specialize, [], [normalize_0_31])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_33, plain,
% 0.20/0.50 (! [A] : (~ s__BodyOfWater(A) | s__WaterArea(A))),
% 0.20/0.50 inference(canonicalize, [], [kb_SUMO_MILO_Domains_9582])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_34, plain,
% 0.20/0.50 (! [A] : (~ s__BodyOfWater(A) | s__WaterArea(A))),
% 0.20/0.50 inference(specialize, [], [normalize_0_33])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_35, plain, (! [A] : (~ s__Sea(A) | s__BodyOfWater(A))),
% 0.20/0.50 inference(canonicalize, [], [kb_SUMO_MILO_Domains_9679])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_36, plain, (! [A] : (~ s__Sea(A) | s__BodyOfWater(A))),
% 0.20/0.50 inference(specialize, [], [normalize_0_35])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_37, plain,
% 0.20/0.50 (! [City] :
% 0.20/0.50 (~ is_instance(City, s__CoastalCitiesClass) | ~ s__City(City) |
% 0.20/0.50 s__Sea(skolemFOFtoCNF_Sea(City)))),
% 0.20/0.50 inference(conjunct, [], [normalize_0_29])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_38, plain, (capital_city(s__Copenhagen, s__Denmark)),
% 0.20/0.50 inference(canonicalize, [], [s__Copenhagen_s__Denmark])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_39, plain, (s__Nation(s__Denmark)),
% 0.20/0.50 inference(canonicalize, [], [s__Denmark_type])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_40, plain,
% 0.20/0.50 (! [A] : (~ s__Nation(A) | s__GeopoliticalArea(A))),
% 0.20/0.50 inference(canonicalize, [], [kb_SUMO_MILO_6428])).
% 0.20/0.50
% 0.20/0.50 fof(normalize_0_41, plain,
% 0.20/0.50 (! [A] : (~ s__Nation(A) | s__GeopoliticalArea(A))),
% 0.20/0.50 inference(specialize, [], [normalize_0_40])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_0, plain, (int('-35')),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_0])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_1, plain,
% 0.20/0.50 (is_instance(s__Denmark, s__OECDMemberEconomiesClass)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_1])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_2, plain,
% 0.20/0.50 (latlong(s__Copenhagen, '55.67631', '12.569355', copenhagen, dk)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_2])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_3, plain,
% 0.20/0.50 (latlong(s__Moscow, '55.75695', '37.614975', moscow, ru)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_3])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_4, plain,
% 0.20/0.50 (to_int(CityLat) != to_int(MoscowLat) | ~ capital_city(City, Nation) |
% 0.20/0.50 ~ int(Latitude) | ~ is_instance(Nation, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(City, CityLat, CityLong, CityName, CityNation) |
% 0.20/0.50 ~
% 0.20/0.50 latlong(s__Moscow, MoscowLat, MoscowLong, MoscowName,
% 0.20/0.50 MoscowNation) | ~ look_different(City, s__Moscow) |
% 0.20/0.50 ~ real(CityLat) | ~ real(CityLong) | ~ real(MoscowLat) |
% 0.20/0.50 ~ real(MoscowLong) | ~ s__Object(City) | ~ s__Object(Nation) |
% 0.20/0.50 ~ s__SymbolicString(CityName) | ~ s__SymbolicString(CityNation) |
% 0.20/0.50 ~ s__SymbolicString(MoscowName) | ~ s__SymbolicString(MoscowNation) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, City)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_5])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_5, plain,
% 0.20/0.50 (to_int(X_53) != to_int('55.75695') | ~ capital_city(X_52, X_62) |
% 0.20/0.50 ~ int(X_57) | ~ is_instance(X_62, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(X_52, X_53, X_54, X_55, X_56) |
% 0.20/0.50 ~ latlong(s__Moscow, '55.75695', '37.614975', moscow, ru) |
% 0.20/0.50 ~ look_different(X_52, s__Moscow) | ~ real(X_53) | ~ real(X_54) |
% 0.20/0.50 ~ real('37.614975') | ~ real('55.75695') | ~ s__Object(X_52) |
% 0.20/0.50 ~ s__Object(X_62) | ~ s__SymbolicString(X_55) |
% 0.20/0.50 ~ s__SymbolicString(X_56) | ~ s__SymbolicString(moscow) |
% 0.20/0.50 ~ s__SymbolicString(ru) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, X_52)),
% 0.20/0.50 inference(subst, [],
% 0.20/0.50 [refute_0_4 :
% 0.20/0.50 [bind(City, $fot(X_52)), bind(CityLat, $fot(X_53)),
% 0.20/0.50 bind(CityLong, $fot(X_54)), bind(CityName, $fot(X_55)),
% 0.20/0.50 bind(CityNation, $fot(X_56)), bind(Latitude, $fot(X_57)),
% 0.20/0.50 bind(MoscowLat, $fot('55.75695')),
% 0.20/0.50 bind(MoscowLong, $fot('37.614975')),
% 0.20/0.50 bind(MoscowName, $fot(moscow)),
% 0.20/0.50 bind(MoscowNation, $fot(ru)), bind(Nation, $fot(X_62))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_6, plain,
% 0.20/0.50 (to_int(X_53) != to_int('55.75695') | ~ capital_city(X_52, X_62) |
% 0.20/0.50 ~ int(X_57) | ~ is_instance(X_62, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(X_52, X_53, X_54, X_55, X_56) |
% 0.20/0.50 ~ look_different(X_52, s__Moscow) | ~ real(X_53) | ~ real(X_54) |
% 0.20/0.50 ~ real('37.614975') | ~ real('55.75695') | ~ s__Object(X_52) |
% 0.20/0.50 ~ s__Object(X_62) | ~ s__SymbolicString(X_55) |
% 0.20/0.50 ~ s__SymbolicString(X_56) | ~ s__SymbolicString(moscow) |
% 0.20/0.50 ~ s__SymbolicString(ru) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, X_52)),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(latlong(s__Moscow, '55.75695', '37.614975', moscow,
% 0.20/0.50 ru))], [refute_0_3, refute_0_5])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_7, plain, (to_int('55.75695') = 55),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_6])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_8, plain,
% 0.20/0.50 (to_int(X_53) != 55 | to_int('55.75695') != 55 |
% 0.20/0.50 to_int(X_53) = to_int('55.75695')),
% 0.20/0.50 introduced(tautology,
% 0.20/0.50 [equality,
% 0.20/0.50 [$cnf(~ $equal(to_int(X_53), to_int('55.75695'))), [1],
% 0.20/0.50 $fot(55)]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_9, plain,
% 0.20/0.50 (to_int(X_53) != 55 | to_int(X_53) = to_int('55.75695')),
% 0.20/0.50 inference(resolve, [$cnf($equal(to_int('55.75695'), 55))],
% 0.20/0.50 [refute_0_7, refute_0_8])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_10, plain,
% 0.20/0.50 (to_int(X_53) != 55 | ~ capital_city(X_52, X_62) | ~ int(X_57) |
% 0.20/0.50 ~ is_instance(X_62, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(X_52, X_53, X_54, X_55, X_56) |
% 0.20/0.50 ~ look_different(X_52, s__Moscow) | ~ real(X_53) | ~ real(X_54) |
% 0.20/0.50 ~ real('37.614975') | ~ real('55.75695') | ~ s__Object(X_52) |
% 0.20/0.50 ~ s__Object(X_62) | ~ s__SymbolicString(X_55) |
% 0.20/0.50 ~ s__SymbolicString(X_56) | ~ s__SymbolicString(moscow) |
% 0.20/0.50 ~ s__SymbolicString(ru) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, X_52)),
% 0.20/0.50 inference(resolve, [$cnf($equal(to_int(X_53), to_int('55.75695')))],
% 0.20/0.50 [refute_0_9, refute_0_6])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_11, plain, (real('37.614975')),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_7])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_12, plain,
% 0.20/0.50 (to_int(X_53) != 55 | ~ capital_city(X_52, X_62) | ~ int(X_57) |
% 0.20/0.50 ~ is_instance(X_62, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(X_52, X_53, X_54, X_55, X_56) |
% 0.20/0.50 ~ look_different(X_52, s__Moscow) | ~ real(X_53) | ~ real(X_54) |
% 0.20/0.50 ~ real('55.75695') | ~ s__Object(X_52) | ~ s__Object(X_62) |
% 0.20/0.50 ~ s__SymbolicString(X_55) | ~ s__SymbolicString(X_56) |
% 0.20/0.50 ~ s__SymbolicString(moscow) | ~ s__SymbolicString(ru) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, X_52)),
% 0.20/0.50 inference(resolve, [$cnf(real('37.614975'))],
% 0.20/0.50 [refute_0_11, refute_0_10])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_13, plain, (real('55.75695')),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_8])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_14, plain,
% 0.20/0.50 (to_int(X_53) != 55 | ~ capital_city(X_52, X_62) | ~ int(X_57) |
% 0.20/0.50 ~ is_instance(X_62, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(X_52, X_53, X_54, X_55, X_56) |
% 0.20/0.50 ~ look_different(X_52, s__Moscow) | ~ real(X_53) | ~ real(X_54) |
% 0.20/0.50 ~ s__Object(X_52) | ~ s__Object(X_62) | ~ s__SymbolicString(X_55) |
% 0.20/0.50 ~ s__SymbolicString(X_56) | ~ s__SymbolicString(moscow) |
% 0.20/0.50 ~ s__SymbolicString(ru) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, X_52)),
% 0.20/0.50 inference(resolve, [$cnf(real('55.75695'))],
% 0.20/0.50 [refute_0_13, refute_0_12])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_15, plain, (s__SymbolicString(moscow)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_9])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_16, plain,
% 0.20/0.50 (to_int(X_53) != 55 | ~ capital_city(X_52, X_62) | ~ int(X_57) |
% 0.20/0.50 ~ is_instance(X_62, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(X_52, X_53, X_54, X_55, X_56) |
% 0.20/0.50 ~ look_different(X_52, s__Moscow) | ~ real(X_53) | ~ real(X_54) |
% 0.20/0.50 ~ s__Object(X_52) | ~ s__Object(X_62) | ~ s__SymbolicString(X_55) |
% 0.20/0.50 ~ s__SymbolicString(X_56) | ~ s__SymbolicString(ru) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, X_52)),
% 0.20/0.50 inference(resolve, [$cnf(s__SymbolicString(moscow))],
% 0.20/0.50 [refute_0_15, refute_0_14])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_17, plain, (s__SymbolicString(ru)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_10])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_18, plain,
% 0.20/0.50 (to_int(X_53) != 55 | ~ capital_city(X_52, X_62) | ~ int(X_57) |
% 0.20/0.50 ~ is_instance(X_62, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(X_52, X_53, X_54, X_55, X_56) |
% 0.20/0.50 ~ look_different(X_52, s__Moscow) | ~ real(X_53) | ~ real(X_54) |
% 0.20/0.50 ~ s__Object(X_52) | ~ s__Object(X_62) | ~ s__SymbolicString(X_55) |
% 0.20/0.50 ~ s__SymbolicString(X_56) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, X_52)),
% 0.20/0.50 inference(resolve, [$cnf(s__SymbolicString(ru))],
% 0.20/0.50 [refute_0_17, refute_0_16])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_19, plain,
% 0.20/0.50 (to_int('55.67631') != 55 | ~ capital_city(s__Copenhagen, X_109) |
% 0.20/0.50 ~ int(X_108) | ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ latlong(s__Copenhagen, '55.67631', '12.569355', copenhagen, dk) |
% 0.20/0.50 ~ look_different(s__Copenhagen, s__Moscow) | ~ real('12.569355') |
% 0.20/0.50 ~ real('55.67631') | ~ s__Object(X_109) | ~ s__Object(s__Copenhagen) |
% 0.20/0.50 ~ s__SymbolicString(copenhagen) | ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(subst, [],
% 0.20/0.50 [refute_0_18 :
% 0.20/0.50 [bind(X_52, $fot(s__Copenhagen)),
% 0.20/0.50 bind(X_53, $fot('55.67631')),
% 0.20/0.50 bind(X_54, $fot('12.569355')),
% 0.20/0.50 bind(X_55, $fot(copenhagen)), bind(X_56, $fot(dk)),
% 0.20/0.50 bind(X_57, $fot(X_108)), bind(X_62, $fot(X_109))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_20, plain,
% 0.20/0.50 (to_int('55.67631') != 55 | ~ capital_city(s__Copenhagen, X_109) |
% 0.20/0.50 ~ int(X_108) | ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ look_different(s__Copenhagen, s__Moscow) | ~ real('12.569355') |
% 0.20/0.50 ~ real('55.67631') | ~ s__Object(X_109) | ~ s__Object(s__Copenhagen) |
% 0.20/0.50 ~ s__SymbolicString(copenhagen) | ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(latlong(s__Copenhagen, '55.67631', '12.569355',
% 0.20/0.50 copenhagen, dk))], [refute_0_2, refute_0_19])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_21, plain, (to_int('55.67631') = 55),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_11])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_22, plain,
% 0.20/0.50 (55 != 55 | to_int('55.67631') != 55 | to_int('55.67631') = 55),
% 0.20/0.50 introduced(tautology,
% 0.20/0.50 [equality,
% 0.20/0.50 [$cnf($equal(to_int('55.67631'), 55)), [1], $fot(55)]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_23, plain, (55 != 55 | to_int('55.67631') = 55),
% 0.20/0.50 inference(resolve, [$cnf($equal(to_int('55.67631'), 55))],
% 0.20/0.50 [refute_0_21, refute_0_22])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_24, plain,
% 0.20/0.50 (55 != 55 | ~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ look_different(s__Copenhagen, s__Moscow) | ~ real('12.569355') |
% 0.20/0.50 ~ real('55.67631') | ~ s__Object(X_109) | ~ s__Object(s__Copenhagen) |
% 0.20/0.50 ~ s__SymbolicString(copenhagen) | ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf($equal(to_int('55.67631'), 55))],
% 0.20/0.50 [refute_0_23, refute_0_20])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_25, plain, (55 = 55),
% 0.20/0.50 introduced(tautology, [refl, [$fot(55)]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_26, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ look_different(s__Copenhagen, s__Moscow) | ~ real('12.569355') |
% 0.20/0.50 ~ real('55.67631') | ~ s__Object(X_109) | ~ s__Object(s__Copenhagen) |
% 0.20/0.50 ~ s__SymbolicString(copenhagen) | ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf($equal(55, 55))],
% 0.20/0.50 [refute_0_25, refute_0_24])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_27, plain, (look_different(s__Copenhagen, s__Moscow)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_12])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_28, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ real('12.569355') | ~ real('55.67631') | ~ s__Object(X_109) |
% 0.20/0.50 ~ s__Object(s__Copenhagen) | ~ s__SymbolicString(copenhagen) |
% 0.20/0.50 ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(look_different(s__Copenhagen, s__Moscow))],
% 0.20/0.50 [refute_0_27, refute_0_26])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_29, plain, (real('12.569355')),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_13])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_30, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ real('55.67631') | ~ s__Object(X_109) | ~ s__Object(s__Copenhagen) |
% 0.20/0.50 ~ s__SymbolicString(copenhagen) | ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(real('12.569355'))],
% 0.20/0.50 [refute_0_29, refute_0_28])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_31, plain, (real('55.67631')),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_14])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_32, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ s__Object(X_109) | ~ s__Object(s__Copenhagen) |
% 0.20/0.50 ~ s__SymbolicString(copenhagen) | ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(real('55.67631'))],
% 0.20/0.50 [refute_0_31, refute_0_30])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_33, plain, (~ s__Region(A) | s__Object(A)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_16])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_34, plain,
% 0.20/0.50 (~ s__Region(s__Copenhagen) | s__Object(s__Copenhagen)),
% 0.20/0.50 inference(subst, [], [refute_0_33 : [bind(A, $fot(s__Copenhagen))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_35, plain, (~ s__GeographicArea(A) | s__Region(A)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_18])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_36, plain,
% 0.20/0.50 (~ s__GeographicArea(s__Copenhagen) | s__Region(s__Copenhagen)),
% 0.20/0.50 inference(subst, [], [refute_0_35 : [bind(A, $fot(s__Copenhagen))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_37, plain, (s__City(s__Copenhagen)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_19])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_38, plain, (~ s__City(A) | s__GeopoliticalArea(A)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_21])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_39, plain,
% 0.20/0.50 (~ s__City(s__Copenhagen) | s__GeopoliticalArea(s__Copenhagen)),
% 0.20/0.50 inference(subst, [], [refute_0_38 : [bind(A, $fot(s__Copenhagen))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_40, plain, (s__GeopoliticalArea(s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(s__City(s__Copenhagen))],
% 0.20/0.50 [refute_0_37, refute_0_39])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_41, plain, (~ s__GeopoliticalArea(A) | s__GeographicArea(A)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_23])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_42, plain,
% 0.20/0.50 (~ s__GeopoliticalArea(s__Copenhagen) |
% 0.20/0.50 s__GeographicArea(s__Copenhagen)),
% 0.20/0.50 inference(subst, [], [refute_0_41 : [bind(A, $fot(s__Copenhagen))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_43, plain, (s__GeographicArea(s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(s__GeopoliticalArea(s__Copenhagen))],
% 0.20/0.50 [refute_0_40, refute_0_42])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_44, plain, (s__Region(s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(s__GeographicArea(s__Copenhagen))],
% 0.20/0.50 [refute_0_43, refute_0_36])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_45, plain, (s__Object(s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(s__Region(s__Copenhagen))],
% 0.20/0.50 [refute_0_44, refute_0_34])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_46, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ s__Object(X_109) | ~ s__SymbolicString(copenhagen) |
% 0.20/0.50 ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(s__Object(s__Copenhagen))],
% 0.20/0.50 [refute_0_45, refute_0_32])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_47, plain, (s__SymbolicString(copenhagen)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_24])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_48, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ s__Object(X_109) | ~ s__SymbolicString(dk) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(s__SymbolicString(copenhagen))],
% 0.20/0.50 [refute_0_47, refute_0_46])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_49, plain, (s__SymbolicString(dk)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_25])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_50, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ s__Object(X_109) |
% 0.20/0.50 ~ s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(s__SymbolicString(dk))],
% 0.20/0.50 [refute_0_49, refute_0_48])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_51, plain,
% 0.20/0.50 (is_instance(s__Copenhagen, s__CoastalCitiesClass)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_26])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_52, plain,
% 0.20/0.50 (~ is_instance(City, s__CoastalCitiesClass) | ~ s__City(City) |
% 0.20/0.50 s__orientation(City, skolemFOFtoCNF_Sea(City), s__Near)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_30])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_53, plain,
% 0.20/0.50 (~ is_instance(s__Copenhagen, s__CoastalCitiesClass) |
% 0.20/0.50 ~ s__City(s__Copenhagen) |
% 0.20/0.50 s__orientation(s__Copenhagen, skolemFOFtoCNF_Sea(s__Copenhagen),
% 0.20/0.50 s__Near)),
% 0.20/0.50 inference(subst, [],
% 0.20/0.50 [refute_0_52 : [bind(City, $fot(s__Copenhagen))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_54, plain,
% 0.20/0.50 (~ s__City(s__Copenhagen) |
% 0.20/0.50 s__orientation(s__Copenhagen, skolemFOFtoCNF_Sea(s__Copenhagen),
% 0.20/0.50 s__Near)),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(is_instance(s__Copenhagen, s__CoastalCitiesClass))],
% 0.20/0.50 [refute_0_51, refute_0_53])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_55, plain,
% 0.20/0.50 (s__orientation(s__Copenhagen, skolemFOFtoCNF_Sea(s__Copenhagen),
% 0.20/0.50 s__Near)),
% 0.20/0.50 inference(resolve, [$cnf(s__City(s__Copenhagen))],
% 0.20/0.50 [refute_0_37, refute_0_54])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_56, plain,
% 0.20/0.50 (~ s__City(C) | ~ s__WaterArea(W) | ~ s__orientation(C, W, s__Near) |
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, C)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_32])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_57, plain,
% 0.20/0.50 (~ s__City(s__Copenhagen) |
% 0.20/0.50 ~ s__WaterArea(skolemFOFtoCNF_Sea(s__Copenhagen)) |
% 0.20/0.50 ~
% 0.20/0.50 s__orientation(s__Copenhagen, skolemFOFtoCNF_Sea(s__Copenhagen),
% 0.20/0.50 s__Near) |
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(subst, [],
% 0.20/0.50 [refute_0_56 :
% 0.20/0.50 [bind(C, $fot(s__Copenhagen)),
% 0.20/0.50 bind(W, $fot(skolemFOFtoCNF_Sea(s__Copenhagen)))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_58, plain,
% 0.20/0.50 (~ s__City(s__Copenhagen) |
% 0.20/0.50 ~ s__WaterArea(skolemFOFtoCNF_Sea(s__Copenhagen)) |
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(s__orientation(s__Copenhagen,
% 0.20/0.50 skolemFOFtoCNF_Sea(s__Copenhagen), s__Near))],
% 0.20/0.50 [refute_0_55, refute_0_57])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_59, plain,
% 0.20/0.50 (~ s__WaterArea(skolemFOFtoCNF_Sea(s__Copenhagen)) |
% 0.20/0.50 s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve, [$cnf(s__City(s__Copenhagen))],
% 0.20/0.50 [refute_0_37, refute_0_58])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_60, plain, (~ s__BodyOfWater(A) | s__WaterArea(A)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_34])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_61, plain,
% 0.20/0.50 (~ s__BodyOfWater(skolemFOFtoCNF_Sea(s__Copenhagen)) |
% 0.20/0.50 s__WaterArea(skolemFOFtoCNF_Sea(s__Copenhagen))),
% 0.20/0.50 inference(subst, [],
% 0.20/0.50 [refute_0_60 :
% 0.20/0.50 [bind(A, $fot(skolemFOFtoCNF_Sea(s__Copenhagen)))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_62, plain, (~ s__Sea(A) | s__BodyOfWater(A)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_36])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_63, plain,
% 0.20/0.50 (~ s__Sea(skolemFOFtoCNF_Sea(s__Copenhagen)) |
% 0.20/0.50 s__BodyOfWater(skolemFOFtoCNF_Sea(s__Copenhagen))),
% 0.20/0.50 inference(subst, [],
% 0.20/0.50 [refute_0_62 :
% 0.20/0.50 [bind(A, $fot(skolemFOFtoCNF_Sea(s__Copenhagen)))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_64, plain,
% 0.20/0.50 (~ is_instance(City, s__CoastalCitiesClass) | ~ s__City(City) |
% 0.20/0.50 s__Sea(skolemFOFtoCNF_Sea(City))),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_37])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_65, plain,
% 0.20/0.50 (~ is_instance(s__Copenhagen, s__CoastalCitiesClass) |
% 0.20/0.50 ~ s__City(s__Copenhagen) | s__Sea(skolemFOFtoCNF_Sea(s__Copenhagen))),
% 0.20/0.50 inference(subst, [],
% 0.20/0.50 [refute_0_64 : [bind(City, $fot(s__Copenhagen))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_66, plain,
% 0.20/0.50 (~ s__City(s__Copenhagen) | s__Sea(skolemFOFtoCNF_Sea(s__Copenhagen))),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(is_instance(s__Copenhagen, s__CoastalCitiesClass))],
% 0.20/0.50 [refute_0_51, refute_0_65])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_67, plain, (s__Sea(skolemFOFtoCNF_Sea(s__Copenhagen))),
% 0.20/0.50 inference(resolve, [$cnf(s__City(s__Copenhagen))],
% 0.20/0.50 [refute_0_37, refute_0_66])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_68, plain,
% 0.20/0.50 (s__BodyOfWater(skolemFOFtoCNF_Sea(s__Copenhagen))),
% 0.20/0.50 inference(resolve, [$cnf(s__Sea(skolemFOFtoCNF_Sea(s__Copenhagen)))],
% 0.20/0.50 [refute_0_67, refute_0_63])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_69, plain, (s__WaterArea(skolemFOFtoCNF_Sea(s__Copenhagen))),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(s__BodyOfWater(skolemFOFtoCNF_Sea(s__Copenhagen)))],
% 0.20/0.50 [refute_0_68, refute_0_61])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_70, plain,
% 0.20/0.50 (s__capability(s__Flooding__t, s__located__m, s__Copenhagen)),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(s__WaterArea(skolemFOFtoCNF_Sea(s__Copenhagen)))],
% 0.20/0.50 [refute_0_69, refute_0_59])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_71, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, X_109) | ~ int(X_108) |
% 0.20/0.50 ~ is_instance(X_109, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ s__Object(X_109)),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(s__capability(s__Flooding__t, s__located__m,
% 0.20/0.50 s__Copenhagen))], [refute_0_70, refute_0_50])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_72, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, s__Denmark) | ~ int(X_110) |
% 0.20/0.50 ~ is_instance(s__Denmark, s__OECDMemberEconomiesClass) |
% 0.20/0.50 ~ s__Object(s__Denmark)),
% 0.20/0.50 inference(subst, [],
% 0.20/0.50 [refute_0_71 :
% 0.20/0.50 [bind(X_108, $fot(X_110)),
% 0.20/0.50 bind(X_109, $fot(s__Denmark))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_73, plain,
% 0.20/0.50 (~ capital_city(s__Copenhagen, s__Denmark) | ~ int(X_110) |
% 0.20/0.50 ~ s__Object(s__Denmark)),
% 0.20/0.50 inference(resolve,
% 0.20/0.50 [$cnf(is_instance(s__Denmark, s__OECDMemberEconomiesClass))],
% 0.20/0.50 [refute_0_1, refute_0_72])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_74, plain, (capital_city(s__Copenhagen, s__Denmark)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_38])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_75, plain, (~ int(X_110) | ~ s__Object(s__Denmark)),
% 0.20/0.50 inference(resolve, [$cnf(capital_city(s__Copenhagen, s__Denmark))],
% 0.20/0.50 [refute_0_74, refute_0_73])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_76, plain, (~ s__Region(s__Denmark) | s__Object(s__Denmark)),
% 0.20/0.50 inference(subst, [], [refute_0_33 : [bind(A, $fot(s__Denmark))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_77, plain,
% 0.20/0.50 (~ s__GeographicArea(s__Denmark) | s__Region(s__Denmark)),
% 0.20/0.50 inference(subst, [], [refute_0_35 : [bind(A, $fot(s__Denmark))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_78, plain, (s__Nation(s__Denmark)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_39])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_79, plain, (~ s__Nation(A) | s__GeopoliticalArea(A)),
% 0.20/0.50 inference(canonicalize, [], [normalize_0_41])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_80, plain,
% 0.20/0.50 (~ s__Nation(s__Denmark) | s__GeopoliticalArea(s__Denmark)),
% 0.20/0.50 inference(subst, [], [refute_0_79 : [bind(A, $fot(s__Denmark))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_81, plain, (s__GeopoliticalArea(s__Denmark)),
% 0.20/0.50 inference(resolve, [$cnf(s__Nation(s__Denmark))],
% 0.20/0.50 [refute_0_78, refute_0_80])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_82, plain,
% 0.20/0.50 (~ s__GeopoliticalArea(s__Denmark) | s__GeographicArea(s__Denmark)),
% 0.20/0.50 inference(subst, [], [refute_0_41 : [bind(A, $fot(s__Denmark))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_83, plain, (s__GeographicArea(s__Denmark)),
% 0.20/0.50 inference(resolve, [$cnf(s__GeopoliticalArea(s__Denmark))],
% 0.20/0.50 [refute_0_81, refute_0_82])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_84, plain, (s__Region(s__Denmark)),
% 0.20/0.50 inference(resolve, [$cnf(s__GeographicArea(s__Denmark))],
% 0.20/0.50 [refute_0_83, refute_0_77])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_85, plain, (s__Object(s__Denmark)),
% 0.20/0.50 inference(resolve, [$cnf(s__Region(s__Denmark))],
% 0.20/0.50 [refute_0_84, refute_0_76])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_86, plain, (~ int(X_110)),
% 0.20/0.50 inference(resolve, [$cnf(s__Object(s__Denmark))],
% 0.20/0.50 [refute_0_85, refute_0_75])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_87, plain, (~ int('-35')),
% 0.20/0.50 inference(subst, [], [refute_0_86 : [bind(X_110, $fot('-35'))]])).
% 0.20/0.50
% 0.20/0.50 cnf(refute_0_88, plain, ($false),
% 0.20/0.50 inference(resolve, [$cnf(int('-35'))], [refute_0_0, refute_0_87])).
% 0.20/0.50 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.50
%------------------------------------------------------------------------------