Triple
T12337532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, University of New South Wales |
E294128
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
School of Computer Science and Engineering, UNSW
The School of Computer Science and Engineering at UNSW is a leading Australian academic unit specializing in computer science, software engineering, and related disciplines, known for its research, teaching, and industry engagement.
|
E978495
|
NE FINISHED |
How this triple was built (4 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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: School of Computer Science and Engineering, UNSW | Statement: [Faculty of Engineering, University of New South Wales, hasDepartment, School of Computer Science and Engineering, UNSW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Computer Science and Engineering, UNSW Context triple: [Faculty of Engineering, University of New South Wales, hasDepartment, School of Computer Science and Engineering, UNSW]
-
A.
School of Computer Science, University of Sydney
The School of Computer Science at the University of Sydney is a leading academic department focused on research and education in computer science and related disciplines within one of Australia’s top universities.
-
B.
School of Computer Science and Engineering
The School of Computer Science and Engineering is a leading academic unit at the Hebrew University of Jerusalem specializing in education and research in computer science, software, and related engineering disciplines.
-
C.
School of Computer Science and Engineering
The School of Computer Science and Engineering is a major academic unit of South China University of Technology specializing in education and research in computer science, software, and related engineering fields.
-
D.
School of Computer Science and Engineering
The School of Computer Science and Engineering is a major academic unit of the University of Electronic Science and Technology of China specializing in computer science education and research.
-
E.
School of Computer Science and Electronic Engineering
The School of Computer Science and Electronic Engineering is an academic unit of Hunan University specializing in education and research in computing and electronic engineering 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 Computer Science and Engineering, UNSW Triple: [Faculty of Engineering, University of New South Wales, hasDepartment, School of Computer Science and Engineering, UNSW]
Generated description
The School of Computer Science and Engineering at UNSW is a leading Australian academic unit specializing in computer science, software engineering, and related disciplines, known for its research, teaching, and industry engagement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Computer Science and Engineering, UNSW Target entity description: The School of Computer Science and Engineering at UNSW is a leading Australian academic unit specializing in computer science, software engineering, and related disciplines, known for its research, teaching, and industry engagement.
-
A.
School of Computer Science, University of Sydney
The School of Computer Science at the University of Sydney is a leading academic department focused on research and education in computer science and related disciplines within one of Australia’s top universities.
-
B.
School of Computer Science and Engineering
The School of Computer Science and Engineering is a leading academic unit at the Hebrew University of Jerusalem specializing in education and research in computer science, software, and related engineering disciplines.
-
C.
School of Computer Science and Engineering
The School of Computer Science and Engineering is a major academic unit of South China University of Technology specializing in education and research in computer science, software, and related engineering fields.
-
D.
School of Computer Science and Engineering
The School of Computer Science and Engineering is a major academic unit of the University of Electronic Science and Technology of China specializing in computer science education and research.
-
E.
School of Computer Science and Electronic Engineering
The School of Computer Science and Electronic Engineering is an academic unit of Hunan University specializing in education and research in computing and electronic engineering disciplines.
- F. None of above. chosen
Provenance (5 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa5f21c8190bcb32a078a2f7ebb |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c54e6b08190bdae0ec35cc1c48d |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d13237881908b7c2dca173e20cf |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.