Triple
T3245588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas logical formalism for regulatory networks |
E68059
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | discrete dynamical system framework |
C7456
|
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: discrete dynamical system framework Context triple: [Thomas logical formalism for regulatory networks, instanceOf, discrete dynamical system framework]
-
A.
multidisciplinary framework
A multidisciplinary framework is an integrated structure that combines theories, methods, and perspectives from multiple academic or professional fields to address complex problems more comprehensively.
-
B.
dynamic game
A dynamic game is a strategic interaction among multiple decision-makers that unfolds over time, where players’ choices at each stage can depend on past actions and information, influencing future payoffs and outcomes.
-
C.
statistical framework
A statistical framework is a structured set of principles, assumptions, and methods that guides how data are collected, modeled, analyzed, and interpreted to draw valid inferences about underlying phenomena.
-
D.
cellular automaton
chosen
A cellular automaton is a discrete computational model consisting of a grid of cells, each in one of a finite number of states, that evolve over time according to simple local rules based on the states of neighboring cells.
-
E.
framework in evolutionary biology
A framework in evolutionary biology is a conceptual structure that organizes theories, models, and empirical findings to explain how evolutionary processes generate and shape biological diversity over time.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
Created at: March 8, 2026, 3:09 p.m.