Triple
T14950705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Wisconsin–Oshkosh |
E372783
|
entity |
| Predicate | enrolls |
P61744
|
FINISHED |
| Object | undergraduate students |
—
|
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: undergraduate students | Statement: [University of Wisconsin–Oshkosh, enrolls, undergraduate students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enrolls Context triple: [University of Wisconsin–Oshkosh, enrolls, undergraduate students]
-
A.
enrollment
Indicates the formal act of registering or being registered in a course, program, or institution, establishing an official participant–provider relationship.
-
B.
enrolledIn
chosen
Indicates that one entity is formally registered as a participant in a course, program, or institution represented by another entity.
-
C.
usesEnrollment
Indicates that one entity employs or relies on a particular enrollment record, process, or status in order to function or be applied.
-
D.
enrolledForm
Indicates that an entity is formally registered or signed up to participate in a particular form, program, or course.
-
E.
enrollmentModel
Indicates the type or structure of the enrollment relationship that governs how entities (such as users or participants) are registered or associated with a program, course, or service.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68fae3c81909873b113bfcaca05 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:39 a.m.