Triple
T14832948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Nursing, South Valley University |
E348753
|
entity |
| Predicate | qualityAssuranceScope |
P23438
|
FINISHED |
| Object | nursing education standards |
—
|
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: nursing education standards | Statement: [Faculty of Nursing, South Valley University, qualityAssuranceScope, nursing education standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualityAssuranceScope Context triple: [Faculty of Nursing, South Valley University, qualityAssuranceScope, nursing education standards]
-
A.
qualityAssuranceBody
Indicates that one entity serves as the quality assurance body responsible for evaluating, monitoring, or certifying the standards or performance of another entity.
-
B.
hasQualityAssuranceModel
Indicates that an entity is associated with or governed by a specific quality assurance model or framework.
-
C.
certificationScope
chosen
Indicates the specific range, domain, or subject matter that a given certification covers or applies to.
-
D.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
E.
hasQualityControl
Indicates that an entity is subject to processes or measures designed to monitor, verify, and maintain the quality of its outputs or operations.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded075af0881908fb35a9e7ee46749 |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:52 a.m.