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# Historical entity extraction from epigraphic records

Parse raw historical inscriptions to extract names, roles, and regional metadata into structured records

[Use with BotBento ](https://app.botbento.com/?ref=usecases&utm_source=botbento.com&utm_medium=usecases&utm_campaign=historical-entity-extraction-from-epigraphic-records)Copy promptShare[Markdown](/text/usecases/historical-entity-extraction-from-epigraphic-records/index.md)

Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- On a scheduleProcess regional inscription batch
- ThenExtract entities and translations
- ResultSave records for human review

Process archival or epigraphic text datasets across regional archives to detect personal names, occupations, and locations. The bot parses raw inscription records, evaluates extraction accuracy against verified sample subsets, refines region-specific extraction prompts, and formats translated entries into a clean database.

## Prompt to start with

BotBentoRecommended

```
Ingest batches of raw inscription texts and metadata from the designated archive. Retain original text markers while identifying individual names, roles, and geographical locations. Translate the ancient text and generate concise summaries for each entry. Compare extractions from test samples against ground-truth benchmarks to flag discrepancies. Before committing bulk updates to the production database or overwriting existing entries, request user review and approval.
```

Copy

## Tools it uses

DatabaseBrowserSpreadsheet

## Works with

BotBento

## Tags

- history
- data-extraction
- nlp
- translation
- database

## Source

[Show HN: I am building a map of people who lived in the Roman Empire](https://news.ycombinator.com/item?id=48481400)
Hacker News · checked 2026-10-15

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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