Triple
T24719988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimura two-parameter model |
E612268
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | substitution model |
C324
|
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: substitution model Context triple: [Kimura two-parameter model, instanceOf, substitution 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.
model of computation
A model of computation is an abstract mathematical framework that defines how algorithms are represented and executed, specifying the rules, operations, and resources available for performing computations.
-
C.
representation in lambda calculus
A representation in lambda calculus is a systematic encoding of data, operations, or computational structures solely using lambda terms, enabling them to be manipulated and reasoned about within the formalism.
-
D.
theoretical model
chosen
A theoretical model is an abstract, simplified representation of a system or phenomenon used to explain, predict, or understand its behavior based on underlying principles and assumptions.
-
E.
equivalent circuit model
An equivalent circuit model is a simplified representation of an electrical network that uses idealized components (such as resistors, capacitors, and inductors) arranged to replicate the behavior of a more complex or real-world system.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 18, 2026, 3:40 a.m.