Triple
T11101974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NMC Extended Education |
E262530
|
entity |
| Predicate | courseCreditType |
P97289
|
FINISHED |
| Object | non-credit |
—
|
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: non-credit | Statement: [NMC Extended Education, courseCreditType, non-credit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseCreditType Context triple: [NMC Extended Education, courseCreditType, non-credit]
-
A.
courseType
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.
notableCourseType
Indicates that a course has a particular notable or distinguished type or classification (e.g., flagship, honors, or otherwise specially recognized).
-
D.
courseShape
Indicates the geometric layout or configuration that defines the path or outline of a course.
-
E.
courseNumber
Indicates the specific numeric identifier assigned to a course within an educational curriculum or catalog.
- F. None of above. chosen
Provenance (4 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a2ab09081908ffce2df8912b657 |
completed | April 9, 2026, 12:23 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.