Task: Schema-Matching (source dataset: prospect)

Task: 
Please identify the matching columns between Table A and Table B. For each column in Table A, specify the corresponding column in Table B. If a column in A has no corresponding column in Table B, you can map it to null. Represent each column mapping using a pair of column headers in a list, i.e., [Table A Column, Table B column or null]. Provide the mapping for each column in Table A and return all mappings in a list.

No explanation and return the matching columns in a structured JSON format: {"column_mappings": <a list of column pairs>}.

TableA:
| AgencyID   | LastName   | City          | Country               | Phone          | Age   | FirstName   | MiddleInitial   | Gender   | AddressLine1         | AddressLine2   | PostalCode   | State                |   Income |
|:-----------|:-----------|:--------------|:----------------------|:---------------|:------|:------------|:----------------|:---------|:---------------------|:---------------|:-------------|:---------------------|---------:|
| PEL0       | PEiLAND    | Fai5banks     | UnitexStareslfAm3rica | 1 712 522 6088 | 42.0  | Netti       |                 | f        | 21847 olympia street |                | T6b 1i1      | MA                   |   368776 |
| LED1       | oEDUC      | Q8ebec        | UnitedStatespfAm4rocq | 1 626 426 4298 | 35.0  | TRUDY       |                 | F        | 245 congress court   | APT. 624       | 77281        | PA                   |   177967 |
| lat2       | larif      | Henderspn     | Un8tedS6ates9fAmerkca | 1 524 787 8784 |       | ireland     |                 |          | 6517 frailing west   |                | 91355        | Alberta              |   321772 |
| RUD3       | RUDDICm    | Swlem         | vanada                | 1 741 997 1688 | 29.0  | Misti       |                 |          | 11449 blalock park   |                | 36615        | AR                   |    25449 |
| JAY4       | JAuAMANNE  | Tolfdo        | Canasa                | 1 002 194 1991 | 41.0  | sarena      | M               | f        | 18354 dodd court     | Apt. 619       | t6a 1i3      | OR                   |   166567 |
| tod5       | todo       | Corpusfhridti | jnitevStwtesofAmerkca | 1 441 371 7651 | 25.0  | Paulette    | Z               | M        | 14117 roxboro street |                | A2b 1v3      | VA                   |    43631 |
| Kan6       | uanno      | ealtLakedity  | Canaea                | 1 957 940 5980 | 4.0   | AMALITA     | R               | m        | 24697 FLORENCE WEST  |                | 49513        | OH                   |   466230 |
| Din7       | Dijkel     | Brodnsviile   | Un9tedatatesofAm2riva | 1 768 633 4096 | 29.0  | Ernesto     | Z               |          | 6488 applewood drive |                | M5d 1v6      | Prince Edward Island |   420243 |
| Thi8       | Tjibodea7x | Esconeido     | knitedSta6esofAm4fica | 1 107 689 2155 | 29.0  | Toby        |                 |          | 17404 gale court     |                | V6c 1q1      | NV                   |   141862 |
| May9       | Mayo       | Llswngeles    | UnitedStatesofzm33isa | 1 173 594 6096 | 41.0  | evangelia   |                 |          | 15913 alexis street  |                | 99716        | Ontario              |   402011 |

TableB:
| AgID    | LaN                           | C          | Cou                      | Pho            |   Ag |   NuCa | NuChil   | MarSta   |   CrRat | OORF   | Empl                           | NumCreCa   |             NWor |
|:--------|:------------------------------|:-----------|:-------------------------|:---------------|-----:|-------:|:---------|:---------|--------:|:-------|:-------------------------------|:-----------|-----------------:|
| Iok7501 | Iokwiqojocjanndatkdzgymym     | Baltimore  | United States of America | 1-637-119-9996 |    7 |      3 |          | U        |     580 | U      | FM Global                      |            | 321776           |
| tia7502 | tiabxgseasiibxakctfzhfwotp    | Kitchener  | Canada                   | 1-560-405-0048 |   48 |      4 | 4.0      | S        |     683 | R      | MGIC Investment                | 2.0        |      2.29232e+06 |
| AOI7503 | AOIWIWTIHIXOJ                 | Saint John |                          | 1-261-306-5079 |   14 |      1 | 5.0      | M        |     411 | O      | Ross Stores                    | 2.0        | 969707           |
| PJQ7504 | PJQSPMBUHYQKBOZ               | Berkeley   | United States of America | 1-642-299-6655 |   29 |      4 | 5.0      | W        |     818 | U      |                                | 9.0        |      3.89946e+06 |
| SDV7505 | SDVLJWXENNGWCQMIW             | Missoula   | United States of America |                |   69 |      2 | 4.0      | U        |     370 | R      | Alliance One International     | 7.0        |      3.74922e+06 |
| Hga7506 | Hgakmykzeunwkiaxayulpwyxrcuev | Salinas    |                          | 1-388-257-4273 |   47 |      0 | 0.0      | U        |     833 | O      | Sally Beauty Holdings          | 6.0        |      3.65853e+06 |
| Beo7507 | Beotomyndkiqryllkvpavllytov   | San Jose   | Canada                   |                |    0 |      5 | 5.0      | M        |     536 | U      | Wisconsin Energy               | 2.0        |      1.73846e+06 |
| Qum7508 | Qumxrssnd                     | Cleveland  | United States of America | 1-632-118-1891 |   46 |      0 | 0.0      | S        |     775 | R      | Carpenter Technology           | 0.0        |      3.3073e+06  |
| Hud7509 | Hudlpfwjagzbnznyhamjkhbf      | Huntington | United States of America | 1-853-806-4986 |    6 |      1 | 1.0      | M        |     765 | R      | Liberty Mutual Insurance Group | 3.0        |      1.81642e+06 |
| jba7510 | jbabemsfwdyeihxq              | Paterson   | Canada                   | 1-220-687-2027 |   22 |      5 | 2.0      | M        |     555 | O      | Black & Decker                 | 6.0        |      2.59925e+06 |



source_headers: AgencyID
LastName
City
Country
Phone
Age
target_headers: AgID
LaN
C
Cou
Pho
Ag
column_mappings: AgencyID
AgID
LastName
LaN
City
C
Country
Cou
Phone
Pho
Age
Ag
output: {"column_mappings": [["AgencyID", "AgID"], ["LastName", "LaN"], ["City", "C"], ["Country", "Cou"], ["Phone", "Pho"], ["Age", "Ag"], ["FirstName", null], ["MiddleInitial", null], ["Gender", null], ["AddressLine1", null], ["AddressLine2", null], ["PostalCode", null], ["State", null], ["Income", null]]}