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   | AddressLine1       | Employer             | FirstName   | Gender   | NumberCreditCards   |   Income | OwnOrRentFlag   | PostalCode   | CreditRating   | City          | Country               | Phone          | LastName   | MiddleInitial   | AddressLine2   | State                | NumberCars   |
|:-----------|:-------------------|:---------------------|:------------|:---------|:--------------------|---------:|:----------------|:-------------|:---------------|:--------------|:----------------------|:---------------|:-----------|:----------------|:---------------|:---------------------|:-------------|
| PEL0       | w1857olympiast4eet | Br7nks               | Net4i       | f        |                     |   108260 | O               | T6b181       | 463.0          | Fairbanjs     | jgitedStat4sogAmerica | 1 712 522 6088 | PELoAND    |                 |                | MA                   |              |
| LED1       | 345c9ngresscou3t   |                      | 6RUDY       | F        | 10.0                |    38069 | U               | 77281        | 312.0          | Qyebec        | UmitedStatea9fAmericx | 1 626 426 4298 | LEDUs      |                 | APT. 624       | PA                   | 5.0          |
| lat2       | 6517crailjng2est   |                      | irelxnd     |          | 13.0                |    64143 | O               | 91355        | 277.0          | Henders8n     | UmitecetatssofAmerica | 1 524 787 8784 | latid      |                 |                | Alberta              | 2.0          |
| RUD3       | w1349blallckpark   | Air0roduchsChekifals | Mis4i       |          | 6.0                 |   392752 | O               | 36615        |                | Saoem         | Canasa                | 1 741 997 1688 | RUDDIxK    |                 |                | AR                   | 2.0          |
| JAY4       | 1935rdoddcourt     | Oshkoxh              | sarema      | f        | 4.0                 |   173669 | O               | t6x1i3       | 161.0          | Tooedo        | danada                | 1 002 194 1991 | JAYAMzNNE  | M               | Apt. 619       | OR                   | 0.0          |
| tod5       | w4117roxbor8wtreet |                      | Paulftte    | M        | 9.0                 |   115570 | R               | A2b1vw       | 287.0          | Cor9usCgristi | UnitedStztesocAmeridx | 1 441 371 7651 | todo       | Z               |                | VA                   | 1.0          |
| Kan6       | 2469icLORENCEWES4  | deraS7nEnergy        | AMAL7TA     | m        | 6.0                 |   267125 | O               | 49513        | 201.0          | azltLakeCity  | Canaea                | 1 957 940 5980 | Kanho      | R               |                | OH                   | 4.0          |
| Din7       | 6488apolewo9ddribe | IDT                  | Ernssto     |          | 9.0                 |    94904 | U               | j5d1v6       | 309.0          | B5oansville   | UnitesS5atecofAmetica | 1 768 633 4096 | Dinlel     | Z               |                | Prince Edward Island | 2.0          |
| Thi8       | 17404gzlrcourt     | AdamqResourcesEjertu | Toby        |          | 5.0                 |   148757 | O               | V6cqq1       | 130.0          | Escondieo     | Uni4edStatdsocAm4rica | 1 107 689 2155 | Tnibkdeaux |                 |                | NV                   | 3.0          |
| May9       | 15913xlezlsstreet  | MyICInvestmeng       | evangel8a   |          |                     |   178314 | O               | 99716        | 368.0          | LoeAngwles    | knitedxhatesodAmerica | 1 173 594 6096 | Mayo       |                 |                | Ontario              | 0.0          |

TableB:
| AgencyID   | AddressLine1         | Employer                 | FirstName   | Gender   | NumberCreditCards   |   Income | OwnOrRentFlag   | PostalCode   | CreditRating   | City           | Country                  | Phone          | LastName   | MiddleInitial   | NumberChildren   | MaritalStatus   | Age   |         NetWorth |
|:-----------|:---------------------|:-------------------------|:------------|:---------|:--------------------|---------:|:----------------|:-------------|:---------------|:---------------|:-------------------------|:---------------|:-----------|:----------------|:-----------------|:----------------|:------|-----------------:|
| PEL0       | 21847 olympia street | Brink's                  | Netti       | f        |                     |   368776 | O               | T6b 1i1      | 760.0          | Fairbanks      | United States of America | 1-712-522-6088 | PELLAND    |                 | 3.0              | W               | 20.0  |      1.05887e+06 |
| LED1       | 245 congress court   |                          | TRUDY       | F        | 6.0                 |   177967 | U               | 77281        | 555.0          | Quebec         | United States of America | 1-626-426-4298 | LEDUC      |                 | 1.0              | U               | 3.0   |      1.98818e+06 |
| lat2       | 6517 frailing west   |                          | ireland     |          | 6.0                 |   321772 | O               | 91355        | 566.0          | Henderson      | United States of America | 1-524-787-8784 | latif      |                 | 1.0              | S               |       |      3.67313e+06 |
| RUD3       | 11449 blalock park   | Air Products & Chemicals | Misti       |          | 3.0                 |    25449 | O               | 36615        |                | Salem          | Canada                   | 1-741-997-1688 | RUDDICK    |                 | 1.0              | W               | 77.0  |      2.0059e+06  |
| JAY4       | 18354 dodd court     | Oshkosh                  | sarena      | f        | 4.0                 |   166567 | O               | t6a 1i3      | 815.0          | Toledo         | Canada                   | 1-002-194-1991 | JAYAMANNE  | M               | 3.0              | M               | 21.0  | 624736           |
| tod5       | 14117 roxboro street |                          | Paulette    | M        | 10.0                |    43631 | R               | A2b 1v3      | 333.0          | Corpus Christi | United States of America | 1-441-371-7651 | todo       | Z               | 4.0              | M               | 77.0  |      3.06462e+06 |
| Kan6       | 24697 FLORENCE WEST  | VeraSun Energy           | AMALITA     | m        | 1.0                 |   466230 | O               | 49513        | 528.0          | Salt Lake City | Canada                   | 1-957-940-5980 | Kanno      | R               | 0.0              |                 | 23.0  |      3.48913e+06 |
| Din7       | 6488 applewood drive | IDT                      | Ernesto     |          | 7.0                 |   420243 | U               | M5d 1v6      | 680.0          | Brownsville    | United States of America | 1-768-633-4096 | Dinkel     | Z               | 2.0              | M               | 9.0   |      3.43074e+06 |
| Thi8       | 17404 gale court     | Adams Resources & Energy | Toby        |          | 10.0                |   141862 | O               | V6c 1q1      | 761.0          | Escondido      | United States of America | 1-107-689-2155 | Thibodeaux |                 |                  | U               | 63.0  |      1.74361e+06 |
| May9       | 15913 alexis street  | MGIC Investment          | evangelia   |          |                     |   402011 | O               | 99716        | 416.0          | Los Angeles    | United States of America | 1-173-594-6096 | Mayo       |                 | 2.0              | M               | 32.0  | 216299           |



source_headers: AgencyID
AddressLine1
Employer
FirstName
Gender
NumberCreditCards
Income
OwnOrRentFlag
PostalCode
CreditRating
City
Country
Phone
LastName
MiddleInitial
target_headers: AgencyID
AddressLine1
Employer
FirstName
Gender
NumberCreditCards
Income
OwnOrRentFlag
PostalCode
CreditRating
City
Country
Phone
LastName
MiddleInitial
column_mappings: AgencyID
AgencyID
AddressLine1
AddressLine1
Employer
Employer
FirstName
FirstName
Gender
Gender
NumberCreditCards
NumberCreditCards
Income
Income
OwnOrRentFlag
OwnOrRentFlag
PostalCode
PostalCode
CreditRating
CreditRating
City
City
Country
Country
Phone
Phone
LastName
LastName
MiddleInitial
MiddleInitial
output: {"column_mappings": [["AgencyID", "AgencyID"], ["AddressLine1", "AddressLine1"], ["Employer", "Employer"], ["FirstName", "FirstName"], ["Gender", "Gender"], ["NumberCreditCards", "NumberCreditCards"], ["Income", "Income"], ["OwnOrRentFlag", "OwnOrRentFlag"], ["PostalCode", "PostalCode"], ["CreditRating", "CreditRating"], ["City", "City"], ["Country", "Country"], ["Phone", "Phone"], ["LastName", "LastName"], ["MiddleInitial", "MiddleInitial"], ["AddressLine2", null], ["State", null], ["NumberCars", null]]}