The following table lists the Customer Data Parser attributes for China (CN), Korea (KR), and Taiwan (TW) in the PREPOS schema.
Attribute |
Length | Description |
---|---|---|
pr_bnp_branch_name |
60 |
Branch designator and branch name. |
pr_bnp_confidence |
4 |
Confidence of business name. |
pr_bnp_dept_nn (nn=01-04) |
60 |
Business department name. It stores department entries in the XXCDPRUL file. |
pr_bnp_name |
110 |
Business name within the name line. |
pr_bnp_name_type |
110 |
Both business name and type in concatenated form. |
pr_bnp_orig_display |
100 |
Original business name. |
pr_bnp_type |
40 |
Business type (i.e., incorporated, limited, etc.) |
pr_bnp_mask_final | 20 | Final business name mask after unknown tokens have been resolved. |
pr_bnp_mask_orig | 20 | Original token mask for business name. |
pr_pnp_confidence_nn (nn=01-05) |
4 |
Confidence value of personal surname (relative popularity of last name in country). |
pr_pnp_first_nn (nn=01-05) |
16 |
Personal first name (for example, given name). |
pr_pnp_honorific_nn (nn=01-05) |
16 |
Honorific. |
pr_pnp_last_nn (nn=01-05) |
16 |
Personal last name (for example, surname, family name). |
pr_pnp_name_display |
40 |
Original personal name. |
pr_pnp_mask_final | 20 | Final personal name mask after unknown tokens have been resolved. |
pr_pnp_mask_orig | 20 | Original token mask for personal name. |
pr_mask_final |
20 |
Final mask. If processing both personal and business names, the first output will be stored. |
pr_mask_orig |
20 |
Original token mask. If processing both personal and business names, the first output will be stored. |
pr_reference_location |
60 |
Attribute to store school names such as university and collage names or any other non-business data. |
pr_return |
1 |
1—personal record 2—business record |
pr_review_code_nn | 3 | Review codes (where nn a number between 01-20). |
pr_review_group | 3 | Review group output attribute. |
pr_status |
2 |
Exception status for each record to highlight specific conditions. 00—No error 01—Review group threshold exceeded 22—Unknown tokens present |
pr_unknown_token_n (n=1-4) |
40 |
Unknown tokens remaining after Parsing process. |