Triple
T15010899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bestuzhev Courses |
E377831
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | women's higher education institution |
C4582
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: women's higher education institution Context triple: [Bestuzhev Courses, instanceOf, women's higher education institution]
-
A.
women's college
chosen
A women's college is an institution of higher education that primarily or exclusively admits and educates women, often emphasizing gender equity, leadership, and supportive academic communities.
-
B.
private women's liberal arts college
A private women's liberal arts college is an independent, typically small higher education institution dedicated to undergraduate education for women, emphasizing a broad-based curriculum in the arts and sciences, close faculty-student interaction, and holistic intellectual and personal development.
-
C.
coeducational university
A coeducational university is a higher education institution where students of all genders study, live, and participate in academic and extracurricular activities together.
-
D.
women's educational organization
A women's educational organization is a group dedicated to advancing women's learning and development through programs, resources, and advocacy that promote equal access to educational opportunities.
-
E.
women's college preparatory school
A women's college preparatory school is an educational institution dedicated to academically and personally preparing young women for successful admission to and achievement in higher education.
- F. None of above.
Provenance (1 batch)
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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 2:55 a.m.