What iron ore data looks like
Iron ore data sources include mine factory quality inspection reports, third-party port inspection documents, bulk commodity trading platform transaction records, and public data from industry monitoring institutions. Different data sources have distinct update schedules. Factory inspection reports are generated with each shipment batch. Port inspection data is updated within 24 hours after loading and unloading operations are completed. Transaction data is updated immediately upon each deal. Industry monitoring data is compiled and released weekly. Each individual data source document corresponds to a single shipment batch, and contains batch number, shipper information, transportation route details, inspection item details, issuing institution, and issuing date. Iron grade and impurity content are labeled with dry base values. Particle size is labeled in millimeter-level ranges. Batch numbers use string data type. Dates follow the YYYY-MM-DD format.
Constraints for citation sources and traceability
Iron ore data has strong batch uniqueness. Each batch corresponds to independent inspection data. Traceability processes must bind the batch number as the unique identifier to prevent mixing data from different batches. Multiple data sources have significant differences in update cycles. Citations must include the data source update time to ensure due diligence reports use the latest valid data. Documents contain multi-dimensional inspection items. Traceability must accurately locate the source document for a specific inspection item. Only associating with the overall report does not meet traceability requirements. The millimeter-range labeling format for particle size must retain the original graded expression to avoid losing information during conversion. Third-party institution-issued inspection data must record the issuing institution information to support traceability authority.
How to set up configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
recall count | Top 10-15 entries | Iron ore inspection data has multiple dimensions, so sufficient inspection item sources must be covered to avoid missing key data |
similarity threshold | 0.75-0.85 | The fields of iron ore inspection data are highly standardized. A threshold that is too low will introduce irrelevant batch data, while a threshold that is too high may miss associated inspection items from the same batch |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single iron ore quality inspection report may contain multiple pages of inspection details, which takes a long time to parse. Sufficient time must be reserved to complete full content parsing |
segment length | 800-1200 characters | The description of individual inspection items in iron ore inspection data is lengthy. Too short a segment will destroy the complete semantics of inspection items, while too long a segment will affect the accuracy of context recall |
citation source retention fields | batch number, issuing institution, issuing date | The core traceability identifier of iron ore data is the batch number. Issuing institution and date must also be retained to verify data timeliness and authority |
knowledge base update sync frequency | Once daily | Port arrival data is updated daily, so the knowledge base must be synchronized to ensure the timeliness of cited data |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- After uploading iron ore quality inspection data, the citation source field displays as empty. This occurs when the
citation source retention fieldsare not configured, or the configured retention fields do not include core identifiers such as batch numbers, causing the system to fail to automatically bind data sources and knowledge base entries. Manual association with the target knowledge base is required. - A prompt of insufficient citation quota is displayed when generating a due diligence report, with the status code
413 Request Entity Too Largereturned. This happens when therecall countconfiguration is not adjusted, with the default recall count exceeding the platform's citation quota, or when thesegment lengthis not set, causing single-segment content to exceed the citation limit. - Clicking the download button for citation sources has no response, and the original inspection document cannot be obtained. This is caused by unconfigured
knowledge base update sync frequency, leading to expired original document links, or failure to retain the original document's download path field during parsing.
How to confirm configuration is correct
- Upload a single iron ore quality inspection report, check whether the citation source module automatically displays the preset retained field content to confirm configuration takes effect.
- Initiate a due diligence report generation request, check whether the number of returned citation entries meets business needs to confirm recall configuration is reasonable.
- Click the download link for citation sources, verify that the original inspection document can be obtained normally to confirm knowledge base synchronization configuration matches the data source update schedule.
- View the knowledge base synchronization log, confirm that the update time of inspection data matches the data source update cycle to verify synchronization frequency configuration is correct.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.