Triple
T36367915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAP (Multidisciplinary Action Projects) |
E895675
|
entity |
| Predicate | pedagogyType |
P24055
|
FINISHED |
| Object | action-based 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: action-based learning | Statement: [MAP (Multidisciplinary Action Projects), pedagogyType, action-based learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pedagogyType Context triple: [MAP (Multidisciplinary Action Projects), pedagogyType, action-based learning]
-
A.
typeOfTeaching
chosen
Indicates the specific method or style of teaching used in an instructional context.
-
B.
teachingMedium
Indicates the method or channel through which teaching or instruction is delivered from an educator to learners.
-
C.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
D.
typeOfTeachingDocument
Indicates the specific kind or category of a teaching-related document associated with an entity.
-
E.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
- 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.