Triple
T2301140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge Centre for Smart Infrastructure and Construction |
E51733
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Department of Engineering, University of Cambridge |
E50965
|
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 Engineering, University of Cambridge | Statement: [Cambridge Centre for Smart Infrastructure and Construction, affiliation, Department of Engineering, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Engineering, University of Cambridge Context triple: [Cambridge Centre for Smart Infrastructure and Construction, affiliation, Department of Engineering, University of Cambridge]
-
A.
Department of Engineering, University of Cambridge
chosen
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.
-
B.
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.
-
C.
Department of Computer Science and Technology, University of Cambridge
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.
-
D.
Department of Chemical Engineering and Biotechnology, University of Cambridge
The Department of Chemical Engineering and Biotechnology at the University of Cambridge is a leading academic and research department that integrates chemical engineering principles with biotechnology to address challenges in areas such as energy, healthcare, and sustainable manufacturing.
-
E.
Cambridge Engineering Design Centre
The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ef51948190ae828d8ee02feb75 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8954a804819092c716582f23af14 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.