Triple
T3245626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas rules for multistationarity and oscillations |
E68060
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | qualitative rule in gene regulatory network theory |
C12530
|
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: qualitative rule in gene regulatory network theory Context triple: [Thomas rules for multistationarity and oscillations, instanceOf, qualitative rule in gene regulatory network theory]
-
A.
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.
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B.
cellular automaton
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.
-
C.
biological order
A biological order is a taxonomic rank in the classification hierarchy that groups together related families of organisms sharing common structural and evolutionary characteristics.
-
D.
ontology
An ontology is a structured conceptual model that defines the entities, relationships, and rules within a specific domain to enable shared understanding and reasoning.
-
E.
framework in generative grammar
A framework in generative grammar is a theoretical system of principles and formal mechanisms used to model and explain the innate structure and rules underlying human language.
- F. None of above. chosen
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.