Triple
T18811063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Arts and Sciences |
E460015
|
entity |
| Predicate | formsCoreCurriculumFor |
P19492
|
FINISHED |
| Object | Oakwood University undergraduates |
—
|
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: Oakwood University undergraduates | Statement: [School of Arts and Sciences, formsCoreCurriculumFor, Oakwood University undergraduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsCoreCurriculumFor Context triple: [School of Arts and Sciences, formsCoreCurriculumFor, Oakwood University undergraduates]
-
A.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
B.
courseShape
Indicates the geometric layout or configuration that defines the path or outline of a course.
-
C.
offersCurriculum
chosen
Indicates that one entity provides or makes available a specific curriculum to another entity.
-
D.
courseStructure
Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
-
E.
educationalPathway
Indicates the sequence or structure of educational steps, programs, or qualifications that connect one stage of learning or training to another.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dc01248190ab1c8943d180ca05 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.