Triple
T25427553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation Diploma in Art and Design |
E637155
|
entity |
| Predicate | commonCurriculumComponent |
P24108
|
FINISHED |
| Object | drawing |
—
|
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: drawing | Statement: [Foundation Diploma in Art and Design, commonCurriculumComponent, drawing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonCurriculumComponent Context triple: [Foundation Diploma in Art and Design, commonCurriculumComponent, drawing]
-
A.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
B.
curriculumIncluded
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
C.
hasCurriculumComponent
chosen
Indicates that one curriculum or educational program includes or is composed of a particular component, module, or element.
-
D.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
E.
commonCourse
Indicates that two or more entities share at least one course in common.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 21, 2026, 1:57 p.m.