Triple
T19773473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StaR technology |
E474947
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | protein stabilization technology |
C42600
|
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: protein stabilization technology Context triple: [StaR technology, instanceOf, protein stabilization technology]
-
A.
shelf-stable food product
A shelf-stable food product is an edible item that has been processed and packaged to remain safe and palatable for extended periods at room temperature without refrigeration.
-
B.
coagulation factor Xa decoy protein
A coagulation factor Xa decoy protein is an engineered protein that mimics factor Xa’s binding sites to sequester and neutralize factor Xa inhibitors without participating in the coagulation cascade.
-
C.
protein
A protein is a large, complex biological molecule composed of one or more chains of amino acids that fold into specific three-dimensional structures to perform diverse structural, catalytic, signaling, and regulatory functions in living organisms.
-
D.
proteasome inhibitor
A proteasome inhibitor is a compound that blocks the activity of cellular proteasomes, preventing the degradation of ubiquitinated proteins and thereby disrupting key regulatory pathways, often used as an anticancer strategy.
-
E.
reversal agent for factor Xa inhibitors
A reversal agent for factor Xa inhibitors is a therapeutic substance designed to rapidly neutralize the anticoagulant effects of factor Xa–inhibiting drugs in situations such as life-threatening bleeding or urgent surgery.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:48 p.m.