Triple
T26054907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEED |
E648089
|
entity |
| Predicate | hasSyllabusComponent |
P24108
|
FINISHED |
| Object | design thinking and problem solving |
—
|
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: design thinking and problem solving | Statement: [CEED, hasSyllabusComponent, design thinking and problem solving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSyllabusComponent Context triple: [CEED, hasSyllabusComponent, design thinking and problem solving]
-
A.
hasSyllabus
Indicates that an entity is associated with or includes a specific syllabus as part of its definition or content.
-
B.
hasCurriculumComponent
chosen
Indicates that one curriculum or educational program includes or is composed of a particular component, module, or element.
-
C.
hasCommonSyllabus
Indicates that two or more educational offerings share the same or substantially overlapping syllabus content.
-
D.
hasCurriculumBasis
Indicates that one entity’s curriculum is founded on, derived from, or guided by another entity as its basis.
-
E.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 9:11 a.m.