Triple
T23314739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island Medical Program |
E590673
|
entity |
| Predicate | hasPreclinicalTraining |
P151836
|
FINISHED |
| Object | pre-clinical curriculum on Vancouver Island |
—
|
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: pre-clinical curriculum on Vancouver Island | Statement: [Island Medical Program, hasPreclinicalTraining, pre-clinical curriculum on Vancouver Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreclinicalTraining Context triple: [Island Medical Program, hasPreclinicalTraining, pre-clinical curriculum on Vancouver Island]
-
A.
hasPreclinicalFeature
Indicates that an entity exhibits a characteristic, sign, or attribute that is present before the full clinical manifestation of a condition or disease.
-
B.
hasDoctoralTraining
Indicates that one entity has received doctoral-level academic or professional training, typically under the supervision or within the program of another entity.
-
C.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
D.
hasTrainingTrack
Indicates that an entity is associated with or assigned to a specific training track or program.
-
E.
hasTrained
Indicates that one entity has provided training or instruction to another entity.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197805a08819082af5c46a21b4c57 |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:06 p.m.