Triple
T7332259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate Liberal Studies Program |
E169030
|
entity |
| Predicate | hasCurriculumType |
P58192
|
FINISHED |
| Object | interdisciplinary curriculum |
—
|
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: interdisciplinary curriculum | Statement: [Graduate Liberal Studies Program, hasCurriculumType, interdisciplinary curriculum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurriculumType Context triple: [Graduate Liberal Studies Program, hasCurriculumType, interdisciplinary curriculum]
-
A.
curriculumType
chosen
Indicates the classification or category of curriculum associated with an educational program or course.
-
B.
hasCurriculumComponent
Indicates that one curriculum or educational program includes or is composed of a particular component, module, or element.
-
C.
hasCurriculumArea
Indicates that an educational program, course, or learning activity is associated with a specific curriculum area or subject domain.
-
D.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
E.
hasTrainingType
Indicates that an entity is associated with or characterized by a specific type or category of training.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:03 p.m.