Triple
T537967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udemy |
E12367
|
entity |
| Predicate | Udemy BusinessInstanceOf |
P7876
|
FINISHED |
| Object | corporate learning platform |
—
|
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: corporate learning platform | Statement: [Udemy, Udemy BusinessInstanceOf, corporate learning platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Udemy BusinessInstanceOf Context triple: [Udemy, Udemy BusinessInstanceOf, corporate learning platform]
-
A.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
B.
offersEducationMode
chosen
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
C.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
D.
studentWing
Indicates that one entity is a wing or section of a building designated specifically for students in relation to another entity.
-
E.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b51ff08190a39f4168fd9a7ddf |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.