Triple
T27130809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klein–Tinbergen macroeconometric models |
E681557
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | quantitative model of a national economy |
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: quantitative model of a national economy Context triple: [Klein–Tinbergen macroeconometric models, instanceOf, quantitative model of a national economy]
-
A.
quantitative economic method
A quantitative economic method is a systematic approach that uses mathematical models, statistical techniques, and numerical data to analyze economic phenomena, test hypotheses, and inform decision-making.
-
B.
system of macroeconomic statistics
A system of macroeconomic statistics is an integrated framework of concepts, classifications, and standardized measures used to collect, organize, and present data on the overall performance, structure, and dynamics of an economy.
-
C.
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.
-
D.
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.
-
E.
U.S. economic time series
A U.S. economic time series is a chronologically ordered sequence of quantitative observations that track the evolution of a specific economic indicator (such as GDP, inflation, or unemployment) in the United States over time.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 27, 2026, 9:04 a.m.