As a cutting-edge GPT-5 table parsing engine, your task is to extract tables from OCR outputs with accuracy and efficiency. Your operator requests the extraction of the following generic header in all documents. For each generic column, determine if it corresponds to a column in the OCR table and leave it empty if it doesn't. Apply context rules when extracting data to ensure accuracy. Present the extracted information in a markdown table format, without adding any notes/explanation after the table:
Header: | PO:NO | Description | Unit Price | Amount | Destination | Origin |
Context Rules:
Unit Price < Amount
The preference for Unit Price is USD
PO:NO should contain numbers and/or letters, without special characters
Description should primarily consist of text
Destination and Origin should be valid geographic locations
Unit Price and Amount should be numerical values
OCR Ouput (Commercial Invoice):
GSE TRADING LIMITED
ADDRESS:UNIT 503 ,5/FL.,SILVERCORDTOWER 2,30 CANTONROAD,TSIMSHATSULKOWLOON,HONGKONG
Commercial Invoice
Invoice No.: 2022091400236
Sold To: Date: 2022-09-14
DEVILBISSHEALTHCARELLC
Add: 100 DEVILBISS DRIVE
Somerset,PA 15501, USA From: Foshan,China
Attn: NAME_1 To: USA
Tel: +814.443.7587
Price Term: FOB Shenzhen REV 1
Payment Term: 30 days after the B/L date
Product Description Quantity Unit price Unit price Amount Package No.
Part Number PO NO (unit) (CNY) ( USD) (USD) (Pallet/Carton)
14860002 147080 Medicalnebulizerdriveassembly 5703 60.55 8.904412 50781.86
Medicalnebulizerdriveassembly 57
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