Triple
T13041260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI 5* |
E327195
|
entity |
| Predicate | courseDesignStandard |
P37655
|
FINISHED |
| Object | designed by FEI-approved 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-approved course designers | Statement: [CSI 5*, courseDesignStandard, designed by FEI-approved course designers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseDesignStandard Context triple: [CSI 5*, courseDesignStandard, designed by FEI-approved course designers]
-
A.
courseDesigner
Indicates that one entity is responsible for creating, planning, or structuring the content and format of a course for another entity.
-
B.
courseStyle
Indicates the manner, format, or pedagogical approach in which a course is delivered or conducted.
-
C.
courseShape
Indicates the geometric layout or configuration that defines the path or outline of a course.
-
D.
courseStructure
Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
-
E.
designStandardizedIn
chosen
Indicates that something is designed according to the rules, formats, or specifications defined within a particular standard or standardization framework.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:56 p.m.