Triple
T30086673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | corticospinal tract |
E764619
|
entity |
| Predicate | decussatesAt |
P27425
|
FINISHED |
| Object | pyramidal decussation in caudal medulla |
—
|
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: pyramidal decussation in caudal medulla | Statement: [corticospinal tract, decussatesAt, pyramidal decussation in caudal medulla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decussatesAt Context triple: [corticospinal tract, decussatesAt, pyramidal decussation in caudal medulla]
-
A.
crossesBetween
Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
-
B.
doubleCrosses
Indicates that one party betrays another by secretly switching allegiance or undermining them after initially appearing loyal.
-
C.
crossesIn
chosen
Indicates that one entity passes over or through the path, boundary, or area occupied by another entity, intersecting its space or trajectory.
-
D.
crossesSectionOf
Indicates that one entity passes through or over a specific segment or portion of another entity.
-
E.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
- 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.