Triple
T10763445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathematical Laboratory |
E253890
|
entity |
| Predicate | hasSuccessor |
P78
|
FINISHED |
| Object | Department of Computer Science and Technology, University of Cambridge |
E51732
|
NE FINISHED |
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 Computer Science and Technology, University of Cambridge | Statement: [Mathematical Laboratory, hasSuccessor, Department of Computer Science and Technology, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science and Technology, University of Cambridge Context triple: [Mathematical Laboratory, hasSuccessor, Department of Computer Science and Technology, University of Cambridge]
-
A.
Department of Computer Science and Technology, University of Cambridge
chosen
The Department of Computer Science and Technology at the University of Cambridge is a leading academic and research centre in computer science, renowned for its pioneering contributions to computing theory, systems, and applications.
-
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 Technology, University of Cambridge
The School of Technology at the University of Cambridge is a major academic division that oversees engineering, business, and related technology-focused departments and research centers within the university.
-
D.
Department of Engineering, University of Cambridge
The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
-
E.
Department of Computing, Imperial College London
The Department of Computing at Imperial College London is a leading UK computer science department renowned for its research excellence and highly ranked undergraduate and postgraduate programmes in computing and artificial intelligence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a373708190ae5ac0c027a4014c |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84b88ba08190afddea2976d12465 |
completed | April 14, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:16 p.m.