Triple
T38408917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contemporary Democracies: Participation, Stability, and Violence |
E901416
|
entity |
| Predicate | addresses |
P265
|
FINISHED |
| Object | relationship between institutions and political violence |
—
|
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: relationship between institutions and political violence | Statement: [Contemporary Democracies: Participation, Stability, and Violence, addresses, relationship between institutions and political violence]
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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fccd615934819086d54e49f1b92bd9 |
completed | May 7, 2026, 5:35 p.m. |
Created at: May 3, 2026, 4:31 p.m.