Triple
T18891526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centennial Virtual Academy |
E462100
|
entity |
| Predicate | modeOfInstruction |
P122484
|
FINISHED |
| Object | 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: online | Statement: [Centennial Virtual Academy, modeOfInstruction, online]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfInstruction Context triple: [Centennial Virtual Academy, modeOfInstruction, online]
-
A.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
B.
hasTeachingMode
chosen
Indicates that an entity is associated with a particular method, style, or mode of teaching or instruction.
-
C.
offersEducationMode
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
D.
mediumOfInstruction
Indicates that a particular language or medium is used as the primary means of instruction or teaching in an educational context.
-
E.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47ab34c8190bfb69444a5263538 |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.