Triple
T1382165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaussian law of error |
E29362
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | error distribution principle |
C1000
|
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: error distribution principle Context triple: [Gaussian law of error, instanceOf, error distribution principle]
-
A.
statistical distribution
A statistical distribution is a conceptual model that describes how the values of a random variable are spread or likely to occur across its possible range.
-
B.
principle
chosen
A principle is a fundamental rule or guiding truth that shapes decisions, behavior, or understanding within a particular domain.
-
C.
probabilist
A probabilist is a mathematician or scientist who studies probability theory, focusing on the analysis and modeling of random phenomena and uncertainty.
-
D.
entropy measure
An entropy measure is a quantitative metric that captures the amount of uncertainty, randomness, or information content in a system, distribution, or process.
-
E.
resolution
Resolution is the process or outcome of resolving a problem, conflict, or ambiguity by reaching a clear, definitive, and often agreed-upon state or decision.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:59 p.m.