Triple
T28507827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSWP |
E721403
|
entity |
| Predicate | preparationCourseType |
P7752
|
FINISHED |
| Object | online training |
—
|
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: online training | Statement: [OSWP, preparationCourseType, online training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparationCourseType Context triple: [OSWP, preparationCourseType, online training]
-
A.
courseType
chosen
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
B.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
C.
homeCourseType
Indicates the type or category of a course designated as the primary or home course for an entity.
-
D.
offersCourseType
Indicates that an entity provides or makes available a course of a specified type.
-
E.
offersCertificationPreparationFor
Indicates that an entity provides training or resources specifically designed to prepare individuals for obtaining a particular certification.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 3:10 a.m.