Triple
T8216724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalman filter |
E191951
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | state estimation method |
C410
|
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: state estimation method Context triple: [Kalman filter, instanceOf, state estimation method]
-
A.
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.
-
B.
approximation
An approximation is a value, representation, or solution that is close to, but not exactly equal to, a true or ideal quantity, used when exactness is unnecessary or unattainable.
-
C.
value-based reinforcement learning method
A value-based reinforcement learning method is an approach that learns a value function estimating expected future rewards for states or state-action pairs and derives a policy by selecting actions that maximize these estimated values.
-
D.
stationary iterative method
A stationary iterative method is a numerical algorithm for solving linear systems that repeatedly updates an approximate solution using a fixed iteration matrix and rule that do not change between iterations.
-
E.
mathematical method
chosen
A mathematical method is a systematic procedure or algorithm used to solve problems, prove results, or analyze structures within mathematics.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:44 p.m.