Triple
T2601473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IS-LM model |
E58352
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | macroeconomic model |
C6773
|
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: macroeconomic model Context triple: [IS-LM model, instanceOf, macroeconomic model]
-
A.
macroeconomic theory
Macroeconomic theory is the branch of economics that studies the behavior, performance, and structure of an economy as a whole, focusing on aggregate measures like output, inflation, unemployment, and economic growth, and the policies that influence them.
-
B.
macroeconomic school of thought
A macroeconomic school of thought is a coherent framework of theories, assumptions, and analytical methods that explains how aggregate economic variables—such as output, employment, inflation, and interest rates—are determined and interact over time.
-
C.
macroeconomic event
A macroeconomic event is a significant occurrence or policy change that affects the overall performance, structure, or behavior of an economy at the national or global level.
-
D.
economic forecasting model
chosen
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.
-
E.
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.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
Created at: March 6, 2026, 9:49 p.m.