Triple
T8083705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Droop quota |
E188678
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | mathematical concept in political science |
C4736
|
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: mathematical concept in political science Context triple: [Droop quota, instanceOf, mathematical concept in political science]
-
A.
political concept
A political concept is an abstract idea or principle used to understand, analyze, and organize power relations, governance structures, and public decision-making within societies.
-
B.
work in social choice theory
chosen
Work in social choice theory examines how individual preferences can be aggregated into collective decisions, analyzing the fairness, consistency, and implications of different voting and choice mechanisms.
-
C.
result in social choice theory
A result in social choice theory is a formal theorem or proposition that characterizes how individual preferences can be aggregated into a collective decision under specified axioms or conditions.
-
D.
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.
-
E.
party system in United States politics
The party system in United States politics is the evolving structure of political competition and governance organized primarily around two major parties—Democrats and Republicans—that shape electoral choices, policy agendas, and political identities.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:29 p.m.