Triple
T18204282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DistilBERT |
E435865
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | distilled model |
C4177
|
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: distilled model Context triple: [DistilBERT, instanceOf, distilled model]
-
A.
former model
A former model is an individual who previously worked professionally in modeling but has since left the industry or no longer does it as their primary occupation.
-
B.
deep learning model
chosen
A deep learning model is a computational architecture composed of multiple layers of interconnected processing units (neurons) that automatically learn hierarchical representations from data to perform tasks such as classification, prediction, or generation.
-
C.
large-scale model
A large-scale model is a computational model, often in machine learning or simulation, that operates with vast numbers of parameters or variables to capture complex patterns or behaviors across extensive datasets or systems.
-
D.
inner model
An inner model is a transitive class containing all ordinals that satisfies the axioms of set theory (typically ZF or ZFC) and is used to analyze the structure and consistency strength of the universe of sets.
-
E.
distilling family
A distilling family is a group of related distillation processes or apparatuses that share common principles and components for separating mixtures based on differences in volatility.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:32 a.m.