Triple
T19361944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Informatics, University of Edinburgh |
E484301
|
entity |
| Predicate | hasResearchInstitute |
P186
|
FINISHED |
| Object | Institute for Design Informatics |
—
|
NE NERFINISHED |
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.
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: Institute for Design Informatics | Statement: [School of Informatics, University of Edinburgh, hasResearchInstitute, Institute for Design Informatics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Institute for Design Informatics Context triple: [School of Informatics, University of Edinburgh, hasResearchInstitute, Institute for Design Informatics]
-
A.
Faculty of Informatics and Design
The Faculty of Informatics and Design is an academic division of the Cape Peninsula University of Technology that focuses on disciplines spanning information technology, digital media, and creative design.
-
B.
Institute for Design & Engineering
The Institute for Design & Engineering is a faculty of Hogeschool Utrecht focused on applied education and research in design, engineering, and technology.
-
C.
Center for Visual Information Technology
The Center for Visual Information Technology is a research center at IIIT Hyderabad focused on computer vision, graphics, and related visual computing technologies.
-
D.
Institute of Digital Arts and Science
The Institute of Digital Arts and Science is an academic unit specializing in the integration of digital technology, creative media, and scientific approaches to art and design.
-
E.
Interaction Design Institute Ivrea
Interaction Design Institute Ivrea was an influential Italian graduate school and research center focused on pioneering interaction design and digital innovation in the early 2000s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Institute for Design Informatics Target entity description: The Institute for Design Informatics is a research center at the University of Edinburgh that explores the intersection of data, technology, and design to create innovative products, services, and experiences.
-
A.
Faculty of Informatics and Design
The Faculty of Informatics and Design is an academic division of the Cape Peninsula University of Technology that focuses on disciplines spanning information technology, digital media, and creative design.
-
B.
Institute for Design & Engineering
The Institute for Design & Engineering is a faculty of Hogeschool Utrecht focused on applied education and research in design, engineering, and technology.
-
C.
Center for Visual Information Technology
The Center for Visual Information Technology is a research center at IIIT Hyderabad focused on computer vision, graphics, and related visual computing technologies.
-
D.
Institute of Digital Arts and Science
The Institute of Digital Arts and Science is an academic unit specializing in the integration of digital technology, creative media, and scientific approaches to art and design.
-
E.
Interaction Design Institute Ivrea
Interaction Design Institute Ivrea was an influential Italian graduate school and research center focused on pioneering interaction design and digital innovation in the early 2000s.
- F. None of above. chosen
Provenance (2 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619a712608190be696a44beda935e |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:34 p.m.