Triple
T14925861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of English (University of Wisconsin–Madison) |
E371631
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | English department |
C22339
|
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: English department Context triple: [Department of English (University of Wisconsin–Madison), instanceOf, English department]
-
A.
language and literature department
chosen
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.
-
B.
humanities department
A humanities department is an academic unit within an educational institution that focuses on the study, teaching, and research of disciplines exploring human culture, thought, history, and expression, such as literature, philosophy, history, languages, and the arts.
-
C.
linguistics department
A linguistics department is an academic unit within a college or university dedicated to the scientific study of language, including its structure, use, acquisition, and historical development.
-
D.
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.
-
E.
college of arts
A college of arts is an academic division within a higher education institution that focuses on disciplines such as visual arts, performing arts, humanities, and related creative fields.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 2:35 a.m.