Triple
T30797539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | civic voluntarism model of political participation |
E784271
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theory of political participation |
C51127
|
CONCEPT 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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: theory of political participation Context triple: [civic voluntarism model of political participation, instanceOf, theory of political participation]
-
A.
voting behavior theory
Voting behavior theory examines how and why individuals make electoral choices by analyzing the influence of psychological, sociological, economic, and institutional factors on their decision-making.
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B.
theory of party identification
The theory of party identification explains how individuals develop a long-term psychological attachment to a political party, which shapes their political perceptions, evaluations, and voting behavior over time.
-
C.
civic participation framework
A civic participation framework is a structured model that outlines the processes, roles, and tools through which individuals and groups engage in public decision-making, community action, and democratic governance.
-
D.
political science model
chosen
A political science model is a conceptual or mathematical framework used to systematically represent, explain, and sometimes predict political behavior, institutions, or processes.
-
E.
electoral geography of the United States
The electoral geography of the United States examines how political boundaries, demographic patterns, and spatial distributions of voters shape election outcomes and party competition across local, state, and national scales.
- F. None of above.
Provenance (1 batch)
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_69f224b2e2a48190b19aa43db9da5b67 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:42 p.m.