Triple
T19294535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent University School of Law |
E482526
|
entity |
| Predicate | hasCoCurricularProgram |
P49794
|
FINISHED |
| Object | moot court |
—
|
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: moot court | Statement: [Regent University School of Law, hasCoCurricularProgram, moot court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoCurricularProgram Context triple: [Regent University School of Law, hasCoCurricularProgram, moot court]
-
A.
hasExtracurricularProgram
chosen
Indicates that an institution or organization offers one or more organized extracurricular programs or activities beyond its primary curriculum or mission.
-
B.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
C.
hasCadetProgram
Indicates that an organization or entity offers or operates a cadet program for training or development.
-
D.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
E.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
- 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.