Triple
T8585178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSM |
E203288
|
entity |
| Predicate | abbreviationFor |
P43
|
FINISHED |
| Object | Department of Materials Science and Metallurgy, University of Cambridge |
E40683
|
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 Materials Science and Metallurgy, University of Cambridge | Statement: [MSM, abbreviationFor, Department of Materials Science and Metallurgy, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Materials Science and Metallurgy, University of Cambridge Context triple: [MSM, abbreviationFor, Department of Materials Science and Metallurgy, University of Cambridge]
-
A.
Department of Materials Science and Metallurgy, University of Cambridge
chosen
The Department of Materials Science and Metallurgy at the University of Cambridge is a leading academic and research department specializing in the study, development, and engineering of materials and their properties.
-
B.
Department of Materials, Imperial College London
The Department of Materials at Imperial College London is a leading academic and research department specializing in materials science and engineering, known for its cutting-edge work in areas such as nanotechnology, biomaterials, and structural materials.
-
C.
Department of Materials Science and Engineering, University of Sheffield
The Department of Materials Science and Engineering at the University of Sheffield is an academic department specializing in the research and teaching of materials science, engineering, and related technologies.
-
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 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.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457ab8b08190a53c730417288deb |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea89e4658819090cc6e94e934670b |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:22 p.m.