Triple
T35219676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Heterogeneous-Agent New Keynesian Model |
E1016917
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | heterogeneous-agent model |
C60447
|
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: heterogeneous-agent model Context triple: [The Heterogeneous-Agent New Keynesian Model, instanceOf, heterogeneous-agent model]
-
A.
optimal growth model
An optimal growth model is a dynamic economic framework that determines how a representative agent or planner allocates consumption and investment over time to maximize intertemporal welfare subject to resource and technological constraints.
-
B.
econometric model
An econometric model is a quantitative representation of economic relationships that uses statistical methods and real-world data to estimate, test, and forecast economic behavior.
-
C.
economic simulator
chosen
An economic simulator is a system that models and analyzes the behavior of economies by simulating interactions among agents, markets, and policies over time.
-
D.
economic theory
Economic theory is a conceptual framework that explains how individuals, firms, and governments make decisions about the allocation of scarce resources and how these decisions shape the production, distribution, and consumption of goods and services.
-
E.
macroeconomic aggregate
A macroeconomic aggregate is a broad measure that summarizes the overall level or performance of key economic variables—such as output, income, prices, or employment—across an entire economy.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.