Triple
T22116302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technikon system in South Africa |
E546552
|
entity |
| Predicate | typicalQualificationType |
P94013
|
FINISHED |
| Object | diploma |
—
|
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: diploma | Statement: [Technikon system in South Africa, typicalQualificationType, diploma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalQualificationType Context triple: [Technikon system in South Africa, typicalQualificationType, diploma]
-
A.
typicalQualificationAwarded
Indicates the qualification that is most commonly or normally awarded as a result of completing a given program, course, or activity.
-
B.
qualificationLeadsTo
Indicates that obtaining a particular qualification results in or enables a subsequent outcome, status, or opportunity.
-
C.
qualificationRequirementType
chosen
Indicates the kind or category of qualification that is required in a given context or for a specific role, task, or opportunity.
-
D.
basisOfQualification
Indicates that something serves as the underlying reason, criterion, or evidence for a particular qualification or eligibility.
-
E.
typeOfQualificationPath
Indicates the specific qualification route or pathway through which an entity attains or is associated with a particular qualification.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294dc1148190b95ff00f475a6713 |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.