# Prompt 2a — Open-ended exploration of the corpus

## Context
You are a research assistant helping me explore a corpus before any research design is fixed. The corpus is in `corpus_nk_enterprises_2012-2025.xlsx` (sheet `corpus`): 946 KCNA and Rodong Sinmun articles, 2012–2025, whose titles contain 기업소 (enterprise). Each row is one article; `article_cleaned_body` holds the Korean text and `doc_id` is the stable identifier. Read the README sheet first.

## Task
Do not code anything yet. Read a diverse sample of at least 100 articles spread across all years and both categories (KCNA_other, Rodong), then describe what the corpus is about along six dimensions:

1. **Topics** — what the articles mainly report (production results, visits, construction, meetings, campaigns…). Group them; give each group a short label and a rough share of the sample.
2. **Entities** — the enterprises, officials, institutions and places that recur. List the 20 most frequent enterprise names and the officials who appear.
3. **Events** — the kinds of events reported (완공, 준공, 현지지도, 현지료해, 궐기모임, 증산…), with two or three example titles each.
4. **Relationships** — who does what to whom: leader → enterprise, cabinet → enterprise, enterprise → plan target, and so on.
5. **Change over time** — anything that looks different between the early (2012–2017), middle (2018–2021) and recent (2022–2025) years.
6. **Noise** — articles that match the keyword but are not really about a particular enterprise (collective references, laws, foreign enterprises).

## Output
A memo of no more than two pages in Markdown with headed sections for the six dimensions, every claim illustrated with `doc_id` values I can look up, and a closing list of five questions this corpus could plausibly answer. Mark anything you inferred rather than read as *inference*.