Triple
T30086690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | corticospinal tract |
E764619
|
entity |
| Predicate | clinicalSignOfLesion |
P33872
|
FINISHED |
| Object | spastic paralysis |
—
|
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: spastic paralysis | Statement: [corticospinal tract, clinicalSignOfLesion, spastic paralysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clinicalSignOfLesion Context triple: [corticospinal tract, clinicalSignOfLesion, spastic paralysis]
-
A.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
B.
lesionAssociatedWithSymptom
chosen
Indicates that a particular lesion is linked to, or occurs together with, a specific symptom.
-
C.
pathologyFeature
Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
-
D.
clinicalCondition
Indicates that one entity has, exhibits, or is associated with a particular medical or health-related condition described by the other entity.
-
E.
hasClinicalSignificance
Indicates that something (such as a finding, variant, or condition) has a meaningful impact or relevance in a clinical or medical context.
- 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.