Triple
T19477081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Worcester |
E487272
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
School of Arts
The School of Arts at the University of Worcester is an academic faculty offering creative and performing arts education, practice, and research.
|
E1378366
|
NE FINISHED |
How this triple was built (3 steps)
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Arts Context triple: [University of Worcester, hasFaculty, School of Arts]
-
A.
School of Arts
The School of Arts at Christian Brothers University is an academic division dedicated to programs in the humanities, fine arts, and related disciplines within the university’s liberal arts education.
-
B.
School of Arts
The School of Arts at the University of Ghana is an academic unit dedicated to teaching and research in the humanities, creative arts, and related disciplines.
-
C.
School of Arts
The School of Arts is a faculty within Birkbeck, University of London that offers humanities and creative disciplines such as literature, film, media, and cultural studies.
-
D.
School of Arts
The School of Arts is a faculty of the University of Nova Gorica dedicated to higher education and creative practice in the visual and media arts.
-
E.
School of Arts
The School of Arts is an academic unit within the University of KwaZulu-Natal’s College of Humanities that offers teaching and research in creative, performing, and visual arts disciplines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: School of Arts Triple: [University of Worcester, hasFaculty, School of Arts]
Generated description
The School of Arts at the University of Worcester is an academic faculty offering creative and performing arts education, practice, and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Arts Target entity description: The School of Arts at the University of Worcester is an academic faculty offering creative and performing arts education, practice, and research.
-
A.
School of Arts
The School of Arts at the University of Derby is an academic division offering creative and performing arts education, practice, and research across disciplines such as fine art, design, media, and related fields.
-
B.
School of Arts
The School of Arts is a faculty of the University of Nova Gorica dedicated to higher education and creative practice in the visual and media arts.
-
C.
School of Arts
The School of Arts is an academic unit within the University of KwaZulu-Natal’s College of Humanities that offers teaching and research in creative, performing, and visual arts disciplines.
-
D.
School of Arts
The School of Arts is a faculty within Birkbeck, University of London that offers humanities and creative disciplines such as literature, film, media, and cultural studies.
-
E.
School of Arts
The School of Arts at the University of Ghana is an academic unit dedicated to teaching and research in the humanities, creative arts, and related disciplines.
- F. None of above. chosen
Provenance (4 batches)
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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074053f7b48190a726ef5e285ed62a |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a07412a04d0819087c4dc7b5f2742ad |
completed | May 15, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074197aa14819096a74aab7bca9e3c |
completed | May 15, 2026, 3:53 p.m. |
Created at: April 10, 2026, 1:39 p.m.