Triple
T9509334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSU Global Campus |
E229350
|
entity |
| Predicate | educationDeliveryMethod |
P7876
|
FINISHED |
| Object | fully online |
—
|
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: fully online | Statement: [WSU Global Campus, educationDeliveryMethod, fully online]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationDeliveryMethod Context triple: [WSU Global Campus, educationDeliveryMethod, fully online]
-
A.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
B.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
C.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
D.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
E.
offersEducationMode
chosen
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9857058881909e0a40e2024a7b4c |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:58 p.m.