Triple
T317133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of the Physical Sciences, University of Cambridge |
E7731
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Department of Materials Science and Metallurgy, University of Cambridge
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.
|
E40683
|
NE FINISHED |
How this triple was built (4 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: [School of the Physical Sciences, University of Cambridge, hasUnit, 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: [School of the Physical Sciences, University of Cambridge, hasUnit, Department of Materials Science and Metallurgy, University of Cambridge]
-
A.
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.
-
B.
School of the Physical Sciences, University of Cambridge
The School of the Physical Sciences at the University of Cambridge is a major academic grouping that encompasses departments and research institutes focused on disciplines such as physics, chemistry, earth sciences, and related physical sciences.
-
C.
Department of Materials Science and Engineering (Carnegie Mellon University)
The Department of Materials Science and Engineering at Carnegie Mellon University is an academic unit specializing in the study, research, and education of materials and their applications in engineering and technology.
-
D.
Faculty of Mathematics, University of Cambridge
The Faculty of Mathematics at the University of Cambridge is a leading academic division renowned worldwide for its research and teaching in pure and applied mathematics, statistics, and related fields.
-
E.
School of Arts and Humanities, University of Cambridge
The School of Arts and Humanities at the University of Cambridge is a major academic division encompassing a wide range of disciplines in the humanities, including languages, literature, history, philosophy, and related fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Materials Science and Metallurgy, University of Cambridge Triple: [School of the Physical Sciences, University of Cambridge, hasUnit, Department of Materials Science and Metallurgy, University of Cambridge]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Materials Science and Metallurgy, University of Cambridge Target entity description: 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.
-
A.
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.
-
B.
School of the Physical Sciences, University of Cambridge
The School of the Physical Sciences at the University of Cambridge is a major academic grouping that encompasses departments and research institutes focused on disciplines such as physics, chemistry, earth sciences, and related physical sciences.
-
C.
Department of Materials Science and Engineering (Carnegie Mellon University)
The Department of Materials Science and Engineering at Carnegie Mellon University is an academic unit specializing in the study, research, and education of materials and their applications in engineering and technology.
-
D.
Faculty of Mathematics, University of Cambridge
The Faculty of Mathematics at the University of Cambridge is a leading academic division renowned worldwide for its research and teaching in pure and applied mathematics, statistics, and related fields.
-
E.
School of Arts and Humanities, University of Cambridge
The School of Arts and Humanities at the University of Cambridge is a major academic division encompassing a wide range of disciplines in the humanities, including languages, literature, history, philosophy, and related fields.
- F. None of above. chosen
Provenance (5 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea65ca7081908093e6aaaf2d34f7 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c41c00888190861d2b6d4bfc8904 |
completed | March 1, 2026, 4:44 a.m. |
| NEDg | Description generation | batch_69a3c5cca244819082e9565558f23dbe |
completed | March 1, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3c64599ac81908e30e5452cc91b97 |
completed | March 1, 2026, 4:53 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.