Triple
T37441417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barro growth regressions |
E930429
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | empirical growth model |
C39392
|
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: empirical growth model Context triple: [Barro growth regressions, instanceOf, empirical growth 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.
population dynamics model
A population dynamics model is a mathematical or computational framework that describes how the size and structure of a population change over time under the influence of births, deaths, migration, and interactions with the environment or other populations.
-
C.
empirical relationship
An empirical relationship is a correlation or functional connection between variables that is derived from observed data rather than from theoretical principles.
-
D.
growth style index
A growth style index is a composite measure that categorizes and quantifies an entity’s predominant approach to development—such as aggressive, balanced, or conservative growth—based on selected performance and behavioral indicators.
-
E.
econometric model
chosen
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.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.