Triple
T37017285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Keynesian Phillips Curve |
E916117
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Phillips curve specification |
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: Phillips curve specification Context triple: [New Keynesian Phillips Curve, instanceOf, Phillips curve specification]
-
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.
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.
-
C.
labor supply elasticity
Labor supply elasticity is a measure of how responsive the amount of labor workers are willing to offer (such as hours worked or participation) is to changes in wages or other economic incentives.
-
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.
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.
- 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.