Triple
T1152992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open University in Scotland |
E23719
|
entity |
| Predicate | teachingMode |
P7876
|
FINISHED |
| Object | online learning |
—
|
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: online learning | Statement: [Open University in Scotland, teachingMode, online learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingMode Context triple: [Open University in Scotland, teachingMode, online learning]
-
A.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
B.
offersEducationMode
chosen
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
C.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
D.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
-
E.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8d2dd8819081c779d408c2651d |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.