Triple
T17066596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Children’s Museum Jordan |
E414102
|
entity |
| Predicate | typeOfLearning |
P94878
|
FINISHED |
| Object | experiential 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: experiential learning | Statement: [The Children’s Museum Jordan, typeOfLearning, experiential learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLearning Context triple: [The Children’s Museum Jordan, typeOfLearning, experiential learning]
-
A.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
B.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
C.
structureLearning
Indicates a process in which an agent infers or constructs the underlying structure or dependency relationships within a set of variables, data, or a model.
-
D.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
E.
usesLearningMechanism
chosen
Indicates that one entity employs or applies a particular learning mechanism or method in its functioning or behavior.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db8171348190ab68d2e4f05f7120 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.