Triple
T19294533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent University School of Law |
E482526
|
entity |
| Predicate | usesPedagogicalApproach |
P63933
|
FINISHED |
| Object | case method |
—
|
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: case method | Statement: [Regent University School of Law, usesPedagogicalApproach, case method]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPedagogicalApproach Context triple: [Regent University School of Law, usesPedagogicalApproach, case method]
-
A.
educationalApproach
Indicates the method, strategy, or philosophy used to guide teaching and learning within an educational context.
-
B.
usesInTeaching
chosen
Indicates that an agent employs a particular resource, method, or material as part of their teaching activities.
-
C.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
D.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
E.
containsTeachingOf
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc84500c81908ac53711335ad2d9 |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:31 p.m.