Triple
T36594177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ScaleA2 |
E902751
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tissue clearing reagent |
C62699
|
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: tissue clearing reagent Context triple: [ScaleA2, instanceOf, tissue clearing reagent]
-
A.
tissue clearing technique
A tissue clearing technique is a laboratory method that renders biological tissues optically transparent while preserving their structural and molecular integrity, enabling deep three-dimensional imaging.
-
B.
ectoplasmic medium
An ectoplasmic medium is a spiritualist practitioner believed to exude a mysterious, semi-physical substance called ectoplasm that allegedly enables communication or interaction between the living and the spirit world.
-
C.
clearing unit
A clearing unit is a financial intermediary or system component that facilitates the validation, netting, and settlement of transactions between counterparties to ensure accurate and secure transfer of funds or securities.
-
D.
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.
-
E.
biomolecular condensate
A biomolecular condensate is a dynamic, membrane-less cellular compartment formed by phase separation of proteins and nucleic acids that concentrates specific molecules to regulate biochemical reactions and cellular processes.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.