Triple
T13001299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI 2* |
E322174
|
entity |
| Predicate | courseDesign |
P26143
|
FINISHED |
| Object | designed by FEI-certified course designers |
—
|
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: designed by FEI-certified course designers | Statement: [CSI 2*, courseDesign, designed by FEI-certified course designers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseDesign Context triple: [CSI 2*, courseDesign, designed by FEI-certified course designers]
-
A.
courseDesigner
chosen
Indicates that one entity is responsible for creating, planning, or structuring the content and format of a course for another entity.
-
B.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
-
C.
courseShape
Indicates the geometric layout or configuration that defines the path or outline of a course.
-
D.
courseStyle
Indicates the manner, format, or pedagogical approach in which a course is delivered or conducted.
-
E.
courseSetting
Indicates the context or environment in which a course is delivered or conducted.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:47 p.m.