Triple
T3245587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas logical formalism for regulatory networks |
E68059
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | modeling approach for gene regulatory networks |
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: modeling approach for gene regulatory networks Context triple: [Thomas logical formalism for regulatory networks, instanceOf, modeling approach for gene regulatory networks]
-
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.
-
B.
computational analysis toolset
A computational analysis toolset is an integrated collection of software tools, libraries, and frameworks designed to process, analyze, and interpret data through algorithmic and statistical methods.
-
C.
scientific model collection
A scientific model collection is an organized set of related theoretical, computational, or empirical models curated to represent, compare, and analyze phenomena within a specific scientific domain.
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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.
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E.
global data-processing and forecasting system
A global data-processing and forecasting system is an integrated platform that ingests, cleans, analyzes, and models large-scale, heterogeneous data from worldwide sources to generate timely predictions and insights for decision-making.
- 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.