Triple
T7866605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denison University |
E182630
|
entity |
| Predicate | hasPrimaryStudentBody |
P70047
|
FINISHED |
| Object | full-time undergraduates |
—
|
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: full-time undergraduates | Statement: [Denison University, hasPrimaryStudentBody, full-time undergraduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryStudentBody Context triple: [Denison University, hasPrimaryStudentBody, full-time undergraduates]
-
A.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
-
B.
hasStudentBodyType
Indicates that an educational institution possesses a student body characterized by a particular type or classification.
-
C.
primaryStudentBody
chosen
Indicates that one entity serves as the main group of enrolled students associated with an educational institution or program.
-
D.
hasStudentSection
Indicates that an entity (such as a course or class) is associated with a specific student section or subgroup of enrolled students.
-
E.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb38464274819080f182b53783fa84 |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:54 p.m.