Triple
T8902121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | primary motor cortex |
E211953
|
entity |
| Predicate | cytoarchitectonicFeature |
P45022
|
FINISHED |
| Object | prominent Betz cells |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: prominent Betz cells | Statement: [primary motor cortex, cytoarchitectonicFeature, prominent Betz cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cytoarchitectonicFeature Context triple: [primary motor cortex, cytoarchitectonicFeature, prominent Betz cells]
-
A.
anatomicalFeature
chosen
Indicates that one entity is an anatomical part, structure, or feature of another entity.
-
B.
hemisphereDominance
Indicates which brain hemisphere (left or right) is functionally dominant for a given cognitive or neural process in an entity.
-
C.
compositionalFeature
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
D.
hasAssociatedBrainRegions
Indicates that certain brain regions are functionally, structurally, or conceptually linked to a given entity or process.
-
E.
inferredLateralization
Indicates that the side or hemispheric orientation (e.g., left, right, bilateral) of an entity has been deduced indirectly from available information rather than observed directly.
- F. None of above.
Provenance (3 batches)
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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc642a104081908df2d64e8f9ad0c8 |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:55 p.m.