Triple
T21853914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | entorhinal cortex |
E539573
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | medial temporal lobe structure |
C9998
|
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: medial temporal lobe structure Context triple: [entorhinal cortex, instanceOf, medial temporal lobe structure]
-
A.
neuroanatomical feature
A neuroanatomical feature is a distinct structural component of the nervous system, such as a region, pathway, or cellular arrangement, identifiable by its location, morphology, and functional associations.
-
B.
cortical area
chosen
A cortical area is a distinct region of the cerebral cortex characterized by specific cytoarchitecture, connectivity, and functional roles in processing sensory, motor, or cognitive information.
-
C.
cognitive neuroscience model
A cognitive neuroscience model is a theoretical or computational framework that explains how brain structures and neural processes give rise to cognitive functions such as perception, memory, decision-making, and language.
-
D.
associative memory model
An associative memory model is a computational or theoretical framework that stores and retrieves information based on learned relationships or patterns between items, enabling recall of one item when presented with another related cue.
-
E.
mnemonist
A mnemonist is a person with an extraordinary ability to remember and recall vast amounts of information, often using specialized mental techniques.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 6:56 p.m.