Triple
T18858049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | major histocompatibility complex |
E461225
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | immune system component |
C26874
|
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: immune system component Context triple: [major histocompatibility complex, instanceOf, immune system component]
-
A.
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.
-
B.
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.
-
C.
immunomodulatory drug
An immunomodulatory drug is a pharmacological agent that alters the immune system’s activity—either enhancing or suppressing immune responses—to treat diseases such as autoimmune disorders, cancers, or inflammatory conditions.
-
D.
immunosuppressive agent
An immunosuppressive agent is a drug or substance that reduces or inhibits the activity of the immune system to prevent or treat immune-mediated damage, such as in organ transplantation or autoimmune diseases.
-
E.
immune checkpoint ligand
chosen
An immune checkpoint ligand is a molecule, typically expressed on the surface of cells, that binds to corresponding immune checkpoint receptors to modulate and often inhibit immune cell activation and maintain immune homeostasis.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 11:57 a.m.