Triple
T26823668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molecular Microbiology and Immunology |
E675319
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | subfield of immunology |
C36688
|
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: subfield of immunology Context triple: [Molecular Microbiology and Immunology, instanceOf, subfield of immunology]
-
A.
biology subfield
chosen
A biology subfield is a specialized branch of biological science that focuses on studying a particular level of organization, group of organisms, process, or methodological approach within the broader discipline of biology.
-
B.
subfield of genetics
A subfield of genetics is a specialized branch that focuses on a particular aspect of heredity and gene function, such as molecular mechanisms, population patterns, or the genetic basis of specific traits or diseases.
-
C.
T lymphocyte subset
A T lymphocyte subset is a functionally distinct group of T cells characterized by specific surface markers, cytokine profiles, and immune roles, such as helper, cytotoxic, or regulatory functions.
-
D.
adaptive immune cell
An adaptive immune cell is a lymphocyte, such as a B cell or T cell, that specifically recognizes antigens and generates targeted, long-lasting immune responses through clonal expansion and immunological memory.
-
E.
cluster of differentiation antigen
A cluster of differentiation antigen is a cell surface molecule used as a marker to identify and classify leukocyte subsets and other cell types, often serving functional roles in cell signaling and immune responses.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 27, 2026, 4:57 a.m.