Triple
T18701298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Foreign Languages, Anhui University |
E457255
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | school of foreign languages |
C24837
|
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: school of foreign languages Context triple: [School of Foreign Languages, Anhui University, instanceOf, school of foreign languages]
-
A.
language institute
chosen
A language institute is an educational organization dedicated to teaching one or more foreign or second languages through structured courses, resources, and language-learning support services.
-
B.
multilingual university
A multilingual university is an institution of higher education where instruction, research, and campus life are conducted in multiple languages to support diverse linguistic communities and promote cross-cultural learning.
-
C.
school of international affairs
A school of international affairs is an academic institution that educates students in global politics, diplomacy, security, economics, and policy analysis to prepare them for careers in international public service, research, and leadership.
-
D.
language and literature department
A language and literature department is an academic unit that studies, teaches, and researches languages, their structures, histories, and the literary works produced in those languages.
-
E.
college of arts and humanities
A college of arts and humanities is an academic division within a higher education institution that focuses on disciplines exploring human culture, creativity, history, language, and thought.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.