Triple
T30446499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomonoff induction |
E774592
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | idealized prediction method |
C57013
|
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: idealized prediction method Context triple: [Solomonoff induction, instanceOf, idealized prediction method]
-
A.
ideal point estimate
An ideal point estimate is a single numerical value that best represents an unknown parameter of interest, typically derived from observed data under a specified statistical model or decision criterion.
-
B.
global data-processing and forecasting system
A global data-processing and forecasting system is an integrated platform that ingests, cleans, analyzes, and models large-scale, heterogeneous data from worldwide sources to generate timely predictions and insights for decision-making.
-
C.
prefect
A prefect is a student appointed to a position of authority and responsibility within a school, helping to maintain discipline, support staff, and serve as a role model for other students.
-
D.
cyclical forecasting system
A cyclical forecasting system is a predictive framework that analyzes recurring patterns and periodic trends in data to anticipate future states or events over repeating time intervals.
-
E.
numerical weather prediction model
A numerical weather prediction model is a computational system that uses mathematical equations and atmospheric data to simulate and forecast future weather conditions.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:08 p.m.