Triple
T12544130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamanaka factors |
E299917
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | set of transcription factors |
C19748
|
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: set of transcription factors Context triple: [Yamanaka factors, instanceOf, set of transcription factors]
-
A.
DNA-binding protein
chosen
A DNA-binding protein is a molecule that specifically recognizes and attaches to DNA sequences to regulate or facilitate processes such as transcription, replication, repair, and chromatin organization.
-
B.
genome
A genome is the complete set of genetic material, including all of an organism's genes and non-coding sequences, encoded in its DNA (or RNA in some viruses).
-
C.
G protein alpha subunit family
The G protein alpha subunit family comprises the guanine nucleotide-binding protein α subunits that couple cell surface receptors to intracellular signaling pathways by cycling between inactive GDP-bound and active GTP-bound states.
-
D.
RNA-binding motif protein
An RNA-binding motif protein is a protein characterized by specific structural domains that recognize and bind RNA molecules to regulate their processing, stability, localization, or translation.
-
E.
qualitative rule in gene regulatory network theory
A qualitative rule in gene regulatory network theory is a logical, often discrete, relationship that specifies how the activity state of one or more genes or regulatory elements determines the activation, repression, or maintenance of another gene’s expression without relying on precise quantitative parameters.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
Created at: April 8, 2026, 9:57 p.m.