Triple
T5611707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D-Plan quarter system |
E147372
|
entity |
| Predicate | academicYearType |
P64657
|
FINISHED |
| Object | year-round |
—
|
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: year-round | Statement: [D-Plan quarter system, academicYearType, year-round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicYearType Context triple: [D-Plan quarter system, academicYearType, year-round]
-
A.
academicTermType
Indicates the category or classification of an academic term within an educational calendar (e.g., semester, quarter, trimester).
-
B.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
C.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
D.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
E.
timeWithinAcademicYear
Indicates that a specified time or date falls within the bounds of a defined academic year period.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0211fad448190b068b77ed25931d5 |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:39 p.m.