Triple
T12149981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yan Taru |
E289427
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | women’s educational network |
C1246
|
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 educational network Context triple: [Yan Taru, instanceOf, women’s educational network]
-
A.
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.
-
B.
women's college
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.
-
C.
educational promotion network
chosen
An educational promotion network is a coordinated system of organizations, platforms, and partnerships that collaboratively design, share, and amplify learning opportunities, resources, and initiatives to broaden access and impact in education.
-
D.
women's studies center
A women's studies center is an academic and community hub dedicated to researching, teaching, and advocating around women's experiences, gender equity, and feminist issues across disciplines.
-
E.
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.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:49 p.m.