Triple
T6822094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Ukrainian Research Institute |
E156922
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | area studies institute |
C19175
|
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: area studies institute Context triple: [Harvard Ukrainian Research Institute, instanceOf, area studies institute]
-
A.
area studies
Area studies is an interdisciplinary field that examines specific geographic regions or cultural areas through integrated perspectives from history, politics, economics, language, and society.
-
B.
urban studies research center
An urban studies research center is an interdisciplinary institution that investigates the social, economic, environmental, and spatial dynamics of cities to inform policy, planning, and sustainable urban development.
-
C.
archaeological research institute
An archaeological research institute is an organization dedicated to the systematic study, excavation, analysis, and preservation of material remains from past human cultures to advance historical and scientific knowledge.
-
D.
regional institute
chosen
A regional institute is an organization dedicated to education, research, or specialized services that primarily serves and addresses the needs of a specific geographic area or region.
-
E.
center for Chinese studies
A center for Chinese studies is an academic institution or program dedicated to the interdisciplinary research, teaching, and dissemination of knowledge about Chinese language, history, culture, politics, and society.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
Created at: March 27, 2026, 2:17 p.m.