Triple
T30086941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supplementary motor area |
E764625
|
entity |
| Predicate | anatomicallyAdjacentTo |
P5707
|
FINISHED |
| Object | primary motor cortex |
—
|
NE NERFINISHED |
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: primary motor cortex | Statement: [Supplementary motor area, anatomicallyAdjacentTo, primary motor cortex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anatomicallyAdjacentTo Context triple: [Supplementary motor area, anatomicallyAdjacentTo, primary motor cortex]
-
A.
isAdjacentTo
chosen
Indicates that one entity is directly next to or bordering another without anything of the same type in between.
-
B.
adjacentLandmark
Indicates that one landmark is located directly next to or very near another landmark, with no significant separation between them.
-
C.
locatedInOrAdjacentTo
Indicates that one entity is either situated within the boundaries of another entity or directly next to it, sharing a common border or edge.
-
D.
nearSiteOf
Indicates that one entity is located in close physical proximity to the site or location associated with another entity.
-
E.
isProminentPartOf
Indicates that something forms a major, highly noticeable, or significant component of a larger whole.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d6d35588190bf7b5ea2889ad6b8 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:04 p.m.