Triple
T1909306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sargan Lecture |
E38071
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | econometrics lecture |
C9997
|
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: econometrics lecture Context triple: [Sargan Lecture, instanceOf, econometrics lecture]
-
A.
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.
-
B.
economics school
An economics school is an educational institution or academic department dedicated to teaching, researching, and advancing theories and applications related to the production, distribution, and consumption of goods and services.
-
C.
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.
-
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 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.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:35 p.m.