Statement: all games in the 2007 season were played in the month of october

Input Table: 2006 texas rangers season

Step 1: f_add_column(month)
date opponent score loss attendance record
september 1 indians 7 - 2 padilla (13 - 9) 23776 69 - 67
september 2 indians 6 - 5 volquez (1 - 4) 40222 69 - 68
september 3 indians 5 - 2 byrd 19667 70 - 68
september 4 athletics 8 - 1 zito 23949 71 - 68
september 5 athletics 5 - 4 saarloos 27225 72 - 68
september 6 athletics 9 - 6 rupe (0 - 1) 17838 72 - 69
september 8 mariners 7 - 2 millwood (14 - 10) 28646 72 - 70
september 9 mariners 3 - 2 rheinecker (4 - 6) 33454 72 - 71
september 10 mariners 4 - 2 huber 34321 73 - 71
september 12 tigers 3 - 2 mahay (1 - 3) 24196 73 - 72
september 13 tigers 11 - 3 verlander 24672 74 - 72
september 14 angels 2 - 1 volquez (1 - 5) 21488 74 - 73
september 15 angels 2 - 1 francisco (0 - 1) 30788 74 - 74
september 16 angels 12 - 6 lackey 40196 75 - 74
september 17 angels 8 - 1 santana 24303 76 - 74
september 18 mariners 8 - 1 hernández 18214 77 - 74
september 19 mariners 9 - 7 wilson (2 - 3) 18551 77 - 75
september 20 mariners 6 - 3 tejeda (4 - 4) 26006 77 - 76
september 22 indians 12 - 4 byrd 26284 78 - 76
september 23 indians 6 - 3 padilla (14 - 10) 38351 78 - 77
september 24 indians 11 - 6 millwood (16 - 11) 36617 78 - 78
september 25 angels 8 - 3 volquez (1 - 6) 39781 78 - 79
september 26 angels 5 - 2 escobar 37339 79 - 79
september 27 angels 6 - 5 wilson (2 - 4) 38032 79 - 80
september 29 mariners 6 - 5 fruto 30766 80 - 80
september 30 mariners 3 - 1 millwood (16 - 12) 23310 80 - 81
october 1 mariners 3 - 2 tejeda (5 - 5) 28361 80 - 82

Step 2: f_select_column(date, month)
date opponent score loss attendance record month
september 1 indians 7 - 2 padilla (13 - 9) 23776 69 - 67 september
september 2 indians 6 - 5 volquez (1 - 4) 40222 69 - 68 september
september 3 indians 5 - 2 byrd 19667 70 - 68 september
september 4 athletics 8 - 1 zito 23949 71 - 68 september
september 5 athletics 5 - 4 saarloos 27225 72 - 68 september
september 6 athletics 9 - 6 rupe (0 - 1) 17838 72 - 69 september
september 8 mariners 7 - 2 millwood (14 - 10) 28646 72 - 70 september
september 9 mariners 3 - 2 rheinecker (4 - 6) 33454 72 - 71 september
september 10 mariners 4 - 2 huber 34321 73 - 71 september
september 12 tigers 3 - 2 mahay (1 - 3) 24196 73 - 72 september
september 13 tigers 11 - 3 verlander 24672 74 - 72 september
september 14 angels 2 - 1 volquez (1 - 5) 21488 74 - 73 september
september 15 angels 2 - 1 francisco (0 - 1) 30788 74 - 74 september
september 16 angels 12 - 6 lackey 40196 75 - 74 september
september 17 angels 8 - 1 santana 24303 76 - 74 september
september 18 mariners 8 - 1 hernández 18214 77 - 74 september
september 19 mariners 9 - 7 wilson (2 - 3) 18551 77 - 75 september
september 20 mariners 6 - 3 tejeda (4 - 4) 26006 77 - 76 september
september 22 indians 12 - 4 byrd 26284 78 - 76 september
september 23 indians 6 - 3 padilla (14 - 10) 38351 78 - 77 september
september 24 indians 11 - 6 millwood (16 - 11) 36617 78 - 78 september
september 25 angels 8 - 3 volquez (1 - 6) 39781 78 - 79 september
september 26 angels 5 - 2 escobar 37339 79 - 79 september
september 27 angels 6 - 5 wilson (2 - 4) 38032 79 - 80 september
september 29 mariners 6 - 5 fruto 30766 80 - 80 september
september 30 mariners 3 - 1 millwood (16 - 12) 23310 80 - 81 september
october 1 mariners 3 - 2 tejeda (5 - 5) 28361 80 - 82 october

Step 3: f_group_column(month)

Step 4: simple_query()
date month
september 1 september
september 2 september
september 3 september
september 4 september
september 5 september
september 6 september
september 8 september
september 9 september
september 10 september
september 12 september
september 13 september
september 14 september
september 15 september
september 16 september
september 17 september
september 18 september
september 19 september
september 20 september
september 22 september
september 23 september
september 24 september
september 25 september
september 26 september
september 27 september
september 29 september
september 30 september
october 1 october

Group Sub Table

month Count
september 26
october 1

Prompting LLM for the final answer... >>>


Prediction: FALSE