Triple
T9497321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soroka University Medical Center |
E229041
|
entity |
| Predicate | teachingActivities |
P81547
|
FINISHED |
| Object | clinical training for medical students |
—
|
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: clinical training for medical students | Statement: [Soroka University Medical Center, teachingActivities, clinical training for medical students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingActivities Context triple: [Soroka University Medical Center, teachingActivities, clinical training for medical students]
-
A.
educationalActivity
Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
-
B.
hasTeachingActivities
chosen
Indicates that an entity engages in or is associated with teaching-related actions, roles, or responsibilities.
-
C.
hasTeachingActivity
Indicates that an entity engages in or is associated with a specific teaching-related activity or instructional role.
-
D.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
E.
settingOfActivities
Indicates that a particular place or context serves as the environment in which certain activities occur or are carried out.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ecf4148190aa8f4733980166ae |
completed | April 1, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:56 p.m.