Triple
T30919629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higher Courses for Women, Kyiv |
E787681
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | educational institution in Kyiv |
C58052
|
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: educational institution in Kyiv Context triple: [Higher Courses for Women, Kyiv, instanceOf, educational institution in Kyiv]
-
A.
educational institution in Moscow
An educational institution in Moscow is an organization located within the city that provides structured learning programs, instruction, and academic or professional qualifications to students.
-
B.
neighborhood of Kyiv
A neighborhood of Kyiv is a distinct urban area within the city characterized by its own residential, commercial, cultural, and infrastructural features that contribute to the local identity and daily life of its inhabitants.
-
C.
school in Vienna
A school in Vienna is an educational institution located within the city of Vienna that provides structured learning, instruction, and social development for students according to Austrian educational standards.
-
D.
museum in Ukraine
A museum in Ukraine is a cultural institution that collects, preserves, researches, and exhibits artifacts and artworks related to Ukrainian history, art, science, and heritage for public education and enrichment.
-
E.
educational institution in London
An educational institution in London is an organization based within the Greater London area that provides structured learning, training, or research opportunities, such as schools, colleges, universities, or specialized training centers.
- F. None of above. chosen
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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:51 p.m.