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   | MiddleInitial   | AddressLine1         | MaritalStatus   |         NetWorth | LastName   | FirstName   | Employer                 | Age   | NumberChildren   | PostalCode   | Gender   |   Income | AddressLine2   | Country                  | City           | State                | Phone          |
|:-----------|:----------------|:---------------------|:----------------|-----------------:|:-----------|:------------|:-------------------------|:------|:-----------------|:-------------|:---------|---------:|:---------------|:-------------------------|:---------------|:---------------------|:---------------|
| PEL0       |                 | 21847 olympia street | W               |      1.05887e+06 | PELLAND    | Netti       | Brink's                  | 20.0  | 3.0              | T6b 1i1      | f        |   368776 |                | United States of America | Fairbanks      | MA                   | 1-712-522-6088 |
| LED1       |                 | 245 congress court   | U               |      1.98818e+06 | LEDUC      | TRUDY       |                          | 3.0   | 1.0              | 77281        | F        |   177967 | APT. 624       | United States of America | Quebec         | PA                   | 1-626-426-4298 |
| lat2       |                 | 6517 frailing west   | S               |      3.67313e+06 | latif      | ireland     |                          |       | 1.0              | 91355        |          |   321772 |                | United States of America | Henderson      | Alberta              | 1-524-787-8784 |
| RUD3       |                 | 11449 blalock park   | W               |      2.0059e+06  | RUDDICK    | Misti       | Air Products & Chemicals | 77.0  | 1.0              | 36615        |          |    25449 |                | Canada                   | Salem          | AR                   | 1-741-997-1688 |
| JAY4       | M               | 18354 dodd court     | M               | 624736           | JAYAMANNE  | sarena      | Oshkosh                  | 21.0  | 3.0              | t6a 1i3      | f        |   166567 | Apt. 619       | Canada                   | Toledo         | OR                   | 1-002-194-1991 |
| tod5       | Z               | 14117 roxboro street | M               |      3.06462e+06 | todo       | Paulette    |                          | 77.0  | 4.0              | A2b 1v3      | M        |    43631 |                | United States of America | Corpus Christi | VA                   | 1-441-371-7651 |
| Kan6       | R               | 24697 FLORENCE WEST  |                 |      3.48913e+06 | Kanno      | AMALITA     | VeraSun Energy           | 23.0  | 0.0              | 49513        | m        |   466230 |                | Canada                   | Salt Lake City | OH                   | 1-957-940-5980 |
| Din7       | Z               | 6488 applewood drive | M               |      3.43074e+06 | Dinkel     | Ernesto     | IDT                      | 9.0   | 2.0              | M5d 1v6      |          |   420243 |                | United States of America | Brownsville    | Prince Edward Island | 1-768-633-4096 |
| Thi8       |                 | 17404 gale court     | U               |      1.74361e+06 | Thibodeaux | Toby        | Adams Resources & Energy | 63.0  |                  | V6c 1q1      |          |   141862 |                | United States of America | Escondido      | NV                   | 1-107-689-2155 |
| May9       |                 | 15913 alexis street  | M               | 216299           | Mayo       | evangelia   | MGIC Investment          | 32.0  | 2.0              | 99716        |          |   402011 |                | United States of America | Los Angeles    | Ontario              | 1-173-594-6096 |

TableB:
| AgencyID   | MiddleInitial   | AddressLine1                                                                | MaritalStatus   |         NetWorth | LastName                      | FirstName                   | Employer                       |   Age | NumberChildren   | PostalCode   | Gender   |   Income | AddressLine2                                                      | Country                  |   NumberCars |   CreditRating | OwnOrRentFlag   | NumberCreditCards   |
|:-----------|:----------------|:----------------------------------------------------------------------------|:----------------|-----------------:|:------------------------------|:----------------------------|:-------------------------------|------:|:-----------------|:-------------|:---------|---------:|:------------------------------------------------------------------|:-------------------------|-------------:|---------------:|:----------------|:--------------------|
| Iok7501    | n               | jsurlejkapodmkaccruslfkcqmbcquahsyweopxdxknl                                | U               | 321776           | Iokwiqojocjanndatkdzgymym     | wbwsqgtaa                   | FM Global                      |     7 |                  | Guudshirvcu  |          |    94490 | GKOIKEZZMQTPQUQZLSAUUMVBDPAXTWNWSXTYJYQ                           | United States of America |            3 |            580 | U               |                     |
| tia7502    |                 | Ggptcoorkpeeigqzevhwhjdxdfbrmidyxsugikhgmuvvpcptuphjlgmipvhrrsgepibdupa     | S               |      2.29232e+06 | tiabxgseasiibxakctfzhfwotp    | QGJWCPAPZMWHYHZTNOYSSOQBI   | MGIC Investment                |    48 | 4.0              | wyggjewbe    | M        |     7037 | ocmgcvnexhqhgoyrwpkgaopthdvandlzaaleqccjpjkbirtcqvorobgskhtlgndvn | Canada                   |            4 |            683 | R               | 2.0                 |
| AOI7503    | u               | Gpcvjzlwouagawronludakqiuhbrbpbkkltrnlkoezgwcawpayfsnejpkmisnryphbtztbfemoy | M               | 969707           | AOIWIWTIHIXOJ                 | BHGXDDPUMBESLQMNEPREPTZNNKM | Ross Stores                    |    14 | 5.0              | YMZRQICUTHT  |          |   419269 | Cdrxeolwrrxmwmhgexvcstvzz                                         |                          |            1 |            411 | O               | 2.0                 |
| PJQ7504    |                 | Yxkhkvrobywpdczvwmjgxvnuduavcpyiuceglhaskahgyxqpqjbdroyojouqkzfwvfpsddisy   | W               |      3.89946e+06 | PJQSPMBUHYQKBOZ               | Xgnvppcxgfnmawlupgfa        |                                |    29 | 5.0              | Bcjuycmcen   | m        |    76681 | WKSBVOFGJHQGAEKUYRZHHPH                                           | United States of America |            4 |            818 | U               | 9.0                 |
| SDV7505    |                 | Ddsarhvraiskwmrddncqwvzkmjmxtgnpbtgyop                                      | U               |      3.74922e+06 | SDVLJWXENNGWCQMIW             | Tfiozpstcftslqtwkgngiiwo    | Alliance One International     |    69 | 4.0              | Nujxguyehf   |          |   209116 | skxijfqpzshmts                                                    | United States of America |            2 |            370 | R               | 7.0                 |
| Hga7506    | F               | Ajpkrmtlcbdzr                                                               | U               |      3.65853e+06 | Hgakmykzeunwkiaxayulpwyxrcuev | fbcahlrhhjoslfzqvvwwvhk     | Sally Beauty Holdings          |    47 | 0.0              | Neigswk      | F        |   212203 | ZETOHHRKIBHCQCKZODIXJJSXCFY                                       |                          |            0 |            833 | O               | 6.0                 |
| Beo7507    | D               | PKSTPUXQIRGWSXSKWRAJTTNBAOLQKAAJFAPGWIHBWVCHOXLE                            | M               |      1.73846e+06 | Beotomyndkiqryllkvpavllytov   | Dcgkohfcwyoaxckalqnkrzwq    | Wisconsin Energy               |     0 | 5.0              | WNCEOQPLW    | M        |    42018 | LJXAXKUJXQBGWBHJJAAM                                              | Canada                   |            5 |            536 | U               | 2.0                 |
| Qum7508    |                 | gyhrpdbplficrfirmtavitgpfmhnnhvsuoqwxrulxlqrdqkzshqovucentrxlakgkpwbrgtd    | S               |      3.3073e+06  | Qumxrssnd                     | Vmnmcsinflxxmmifydckncc     | Carpenter Technology           |    46 | 0.0              | Cskdwtkf     |          |    90446 | Jmlgjkjbqhrudrkqrm                                                | United States of America |            0 |            775 | R               | 0.0                 |
| Hud7509    | v               | GJTWIDOQOAPDVVULJGOOJBWTTANDJXOCQHWWZAGLGMJQXJOMWFTFVGXIH                   | M               |      1.81642e+06 | Hudlpfwjagzbnznyhamjkhbf      | Vrkbkkxkddtximspigmlbwzt    | Liberty Mutual Insurance Group |     6 | 1.0              | tcxswloetdt  |          |    16274 | Qqcilgblxyikgr                                                    | United States of America |            1 |            765 | R               | 3.0                 |
| jba7510    |                 | Ycltsquohmuugxihqyluhkoy                                                    | M               |      2.59925e+06 | jbabemsfwdyeihxq              | RMWCTFTLSVTMCBI             | Black & Decker                 |    22 | 2.0              | Fkpemasoukih | m        |    22215 | Ahtohqjfzfarn                                                     | Canada                   |            5 |            555 | O               | 6.0                 |



source_headers: AgencyID
MiddleInitial
AddressLine1
MaritalStatus
NetWorth
LastName
FirstName
Employer
Age
NumberChildren
PostalCode
Gender
Income
AddressLine2
Country
target_headers: AgencyID
MiddleInitial
AddressLine1
MaritalStatus
NetWorth
LastName
FirstName
Employer
Age
NumberChildren
PostalCode
Gender
Income
AddressLine2
Country
column_mappings: AgencyID
AgencyID
MiddleInitial
MiddleInitial
AddressLine1
AddressLine1
MaritalStatus
MaritalStatus
NetWorth
NetWorth
LastName
LastName
FirstName
FirstName
Employer
Employer
Age
Age
NumberChildren
NumberChildren
PostalCode
PostalCode
Gender
Gender
Income
Income
AddressLine2
AddressLine2
Country
Country
output: {"column_mappings": [["AgencyID", "AgencyID"], ["MiddleInitial", "MiddleInitial"], ["AddressLine1", "AddressLine1"], ["MaritalStatus", "MaritalStatus"], ["NetWorth", "NetWorth"], ["LastName", "LastName"], ["FirstName", "FirstName"], ["Employer", "Employer"], ["Age", "Age"], ["NumberChildren", "NumberChildren"], ["PostalCode", "PostalCode"], ["Gender", "Gender"], ["Income", "Income"], ["AddressLine2", "AddressLine2"], ["Country", "Country"], ["City", null], ["State", null], ["Phone", null]]}