Triple
T6385148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frisch–Waugh–Lovell theorem |
E143681
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | result in econometrics |
C20357
|
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: result in econometrics Context triple: [Frisch–Waugh–Lovell theorem, instanceOf, result in econometrics]
-
A.
econometrics lecture
An econometrics lecture is a structured instructional session that teaches how to apply statistical and mathematical methods to analyze economic data and test economic theories.
-
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.
economic research institute
An economic research institute is an organization dedicated to systematically studying economic phenomena, analyzing data, and producing evidence-based insights to inform policy, business decisions, and public understanding.
-
D.
economic theory
Economic theory is a conceptual framework that explains how individuals, firms, and governments make decisions about the allocation of scarce resources and how these decisions shape the production, distribution, and consumption of goods and services.
-
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. chosen
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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
Created at: March 22, 2026, 4:34 p.m.