Triple
T19383795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quest University Canada |
E484877
|
entity |
| Predicate | hadCurriculumModel |
P76961
|
FINISHED |
| Object | block plan |
—
|
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: block plan | Statement: [Quest University Canada, hadCurriculumModel, block plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadCurriculumModel Context triple: [Quest University Canada, hadCurriculumModel, block plan]
-
A.
hasCurriculumBasis
Indicates that one entity’s curriculum is founded on, derived from, or guided by another entity as its basis.
-
B.
hasCurriculumGoal
Indicates that an educational curriculum includes or is associated with a specific intended learning goal or objective.
-
C.
hasCurriculumScope
Indicates that a curriculum or educational program applies to, or is defined within, a particular scope or context (such as grade level, subject area, or institution).
-
D.
hasCurriculumComponent
Indicates that one curriculum or educational program includes or is composed of a particular component, module, or element.
-
E.
hasCurricularStructure
chosen
Indicates that an educational program or course is organized according to a defined curricular framework or structure.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a626b288190a27a30deb0ccabc3 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.