Triple
T8902095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | primary motor cortex |
E211953
|
entity |
| Predicate | BrodmannAreaNumber |
P86291
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [primary motor cortex, BrodmannAreaNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrodmannAreaNumber Context triple: [primary motor cortex, BrodmannAreaNumber, 4]
-
A.
hasAssociatedBrainRegions
Indicates that certain brain regions are functionally, structurally, or conceptually linked to a given entity or process.
-
B.
hemisphereDominance
Indicates which brain hemisphere (left or right) is functionally dominant for a given cognitive or neural process in an entity.
-
C.
brain
Indicates that an entity functions as the brain (central cognitive or control organ) of another entity.
-
D.
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.
-
E.
cranialCapacity
Indicates the volume or size of the interior space of the skull that can house the brain.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cc604965c48190bbb6db0ae8108e67 |
completed | April 1, 2026, 12:01 a.m. |
Created at: March 30, 2026, 6:55 p.m.