docx37 KB

Pine Property Services: First notice of loss claim form (DOCX)

First notice of loss claim form (DOCX) for Pine Property Services. A claim form for FNOL-2026-0003, reporting an escape of water at PROP-6 on 6 August 2026, the same date and property the trades-property model records work order WO-06 against, and the one work order in that model whose completion inspection result is follow-up rather than pass. The three estimate lines of 14,200.00, 2,600.00 and 1,600.00 USD sum to the 18,400.00 USD estimated loss the settlement statement then works from. The PDF twin in the same directory carries the identical text.

Data import

Rendered preview of Pine Property Services: First notice of loss claim form (DOCX)

Rendered preview of the docx file (37 KB). Download above for the original.

Specifications

Document Set: insurance
Industry: trades-property
Source Kit: trades-property
Entity: Pine Property Services
Synthetic: true
As Of: 2026-09-08
Notification Id: FNOL-2026-0003
Claim Id: CLM-2026-0003
Loss Date: 2026-08-06
Estimate Lines: 3
Estimated Loss: 18400.00
Renderer: python-docx
Paragraphs: 13

Testing contract

Expected to pass

Scenario: Add the three estimate lines and carry the result into the settlement statement.
Expected result: The three lines sum to 18400.00, which is the assessed loss the settlement statement starts from before depreciation and the 1,000.00 USD deductible.

What is a .docx file?

DOCX is the default Microsoft Word format, an Office Open XML document packaged as a ZIP archive of XML parts, media, and relationships. It stores structured text, styles, tables, images, and metadata. It is the dominant format for editable word-processing documents.

How to use this file

Use an example DOCX to test Office Open XML parsing, text and style extraction, ZIP-package handling, and converters that render or transform Word documents.

How to use this file for testing

“Pine Property Services: First notice of loss claim form (DOCX)” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: DOCX · 37,901 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

from docx import Document  # pip install python-docx

doc = Document("claim-form-FNOL-2026-0003.docx")
for p in doc.paragraphs[:10]:
    print(p.text)