Triple
T19361936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Informatics, University of Edinburgh |
E484301
|
entity |
| Predicate | foundedByMergerOf |
P6637
|
FINISHED |
| Object | Department of Artificial Intelligence, University of Edinburgh |
—
|
NE NERFINISHED |
How this triple was built (2 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: Department of Artificial Intelligence, University of Edinburgh | Statement: [School of Informatics, University of Edinburgh, foundedByMergerOf, Department of Artificial Intelligence, University of Edinburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Artificial Intelligence, University of Edinburgh Context triple: [School of Informatics, University of Edinburgh, foundedByMergerOf, Department of Artificial Intelligence, University of Edinburgh]
-
A.
School of Informatics, University of Edinburgh
chosen
The School of Informatics at the University of Edinburgh is a leading center for research and teaching in computer science, artificial intelligence, and related disciplines, recognized internationally for its contributions to informatics.
-
B.
Department of Computer Science, University of Oxford
The Department of Computer Science at the University of Oxford is a leading academic department renowned for its research and teaching in theoretical and applied computer science.
-
C.
School of Computer Science, University of St Andrews
The School of Computer Science at the University of St Andrews is a leading UK academic department known for research and teaching in areas such as artificial intelligence, human-computer interaction, and software engineering.
-
D.
College of Science and Engineering, University of Edinburgh
The College of Science and Engineering at the University of Edinburgh is a major academic division encompassing disciplines such as mathematics, informatics, engineering, and the natural sciences, known for its research excellence and extensive undergraduate and postgraduate programs.
-
E.
Machine Learning Department, Carnegie Mellon University
The Machine Learning Department at Carnegie Mellon University is a pioneering academic unit dedicated to research and education in machine learning, artificial intelligence, and related computational disciplines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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.