Triple
T21795049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Hospital |
E538071
|
entity |
| Predicate | teachingFunctions |
P58274
|
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: [Victoria Hospital, teachingFunctions, clinical training for medical students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingFunctions Context triple: [Victoria Hospital, teachingFunctions, clinical training for medical students]
-
A.
teachingFunction
chosen
Indicates that one entity serves in a teaching role or performs instructional duties toward others.
-
B.
teachingExample
Indicates that one entity serves as an illustrative or instructional example used to teach or clarify something to another entity.
-
C.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
D.
exercisesFunction
Indicates that one entity performs or carries out the function, role, or capability associated with another entity.
-
E.
definedTeaching
Indicates that one entity has formally specified or established the teaching content, method, or curriculum for another entity.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0622329b08190b8cd9be714aca456 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.