Triple
T6385315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Methods of Measuring Marginal Utility |
E143685
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | work in econometrics |
C20361
|
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: work in econometrics Context triple: [New Methods of Measuring Marginal Utility, instanceOf, work 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.
applied economics field
An applied economics field is a branch of economics that uses economic theories, data, and quantitative methods to analyze and solve real-world problems in specific sectors or policy areas.
-
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.
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.
-
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. 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.