Triple
T484436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marist College |
E9842
|
entity |
| Predicate | studentBodyType |
P5246
|
FINISHED |
| Object | primarily undergraduate with graduate population |
—
|
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: primarily undergraduate with graduate population | Statement: [Marist College, studentBodyType, primarily undergraduate with graduate population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentBodyType Context triple: [Marist College, studentBodyType, primarily undergraduate with graduate population]
-
A.
studentBodySize
Indicates the total number of students that make up the student body of an institution or group.
-
B.
hasStudentBodyType
chosen
Indicates that an educational institution possesses a student body characterized by a particular type or classification.
-
C.
typicalBodyType
Indicates that one entity is the usual or characteristic body type associated with another entity.
-
D.
studentBodyFocus
Indicates that the primary attention, concern, or efforts are directed toward the student body as a whole.
-
E.
establishesBodyType
Indicates that an entity defines or sets the physical or structural body type of 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0ba310c81909645ef7e8a20b52f |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf48ec08190b85d07e194f99c49 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.