Triple
T34682994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Militärpolitische Verwaltung der NVA |
E890667
|
entity |
| Predicate | usedMethod |
P98
|
FINISHED |
| Object | Überwachung der Parteimitgliedschaft und -aktivität des Personals |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Überwachung der Parteimitgliedschaft und -aktivität des Personals | Statement: [Militärpolitische Verwaltung der NVA, usedMethod, Überwachung der Parteimitgliedschaft und -aktivität des Personals]
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7232a16a081909b775efc60b45244 |
completed | May 3, 2026, 10:27 a.m. |
Created at: May 1, 2026, 2:05 a.m.