Triple
T1111934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udacity |
E11013
|
entity |
| Predicate | hasCourseFormat |
P16603
|
FINISHED |
| Object | video lectures |
—
|
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: video lectures | Statement: [Udacity, hasCourseFormat, video lectures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCourseFormat Context triple: [Udacity, hasCourseFormat, video lectures]
-
A.
trainingFormat
chosen
Indicates the specific method or medium through which training is delivered or conducted.
-
B.
offersCourseType
Indicates that an entity provides or makes available a course of a specified type.
-
C.
hasPrimaryCourse
Indicates that an entity is associated with its main or principal course in a given context (such as a meal, curriculum, or sequence of offerings).
-
D.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
E.
hasNumberOfLessons
Indicates the specific count of lessons associated with an entity.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.