Triple
T36541268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand Diplomas |
E901028
|
entity |
| Predicate | qualificationFramework |
P186438
|
FINISHED |
| Object | New Zealand Qualifications Framework |
—
|
NE NERFINISHED |
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: New Zealand Qualifications Framework | Statement: [New Zealand Diplomas, qualificationFramework, New Zealand Qualifications Framework]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualificationFramework Context triple: [New Zealand Diplomas, qualificationFramework, New Zealand Qualifications Framework]
-
A.
qualificationFrameworkAlignment
Indicates how one qualification or credential is mapped or aligned to a specific level or standard within a qualification framework.
-
B.
qualificationLeadsTo
Indicates that obtaining a particular qualification results in or enables a subsequent outcome, status, or opportunity.
-
C.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
-
D.
basisOfQualification
Indicates that something serves as the underlying reason, criterion, or evidence for a particular qualification or eligibility.
-
E.
qualificationTypeExamples
Indicates examples or instances that illustrate or typify a particular type of qualification.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:11 p.m.