Triple
T27130715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wharton econometric forecasting model |
E681555
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | large-scale econometric 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: large-scale econometric model Context triple: [Wharton econometric forecasting model, instanceOf, large-scale econometric model]
-
A.
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.
-
B.
economic forecasting model
An economic forecasting model is a structured analytical framework that uses historical data, statistical methods, and assumptions about future conditions to predict key economic variables such as growth, inflation, and employment.
-
C.
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.
-
D.
result in econometrics
A result in econometrics is a formally derived conclusion—such as an estimate, test outcome, or theoretical proposition—about economic relationships based on statistical models and data.
-
E.
work in econometrics
Work in econometrics involves developing and applying statistical methods to economic data to test theories, estimate relationships, and inform policy decisions.
- 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.