Triple
T317131
| 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 Chemistry, University of Cambridge
The Department of Chemistry at the University of Cambridge is a leading academic and research institution renowned for its contributions to chemical science and the training of world-class chemists.
|
E40869
|
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 Chemistry, University of Cambridge | Statement: [School of the Physical Sciences, University of Cambridge, hasUnit, Department of Chemistry, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry, University of Cambridge Context triple: [School of the Physical Sciences, University of Cambridge, hasUnit, Department of Chemistry, University of Cambridge]
-
A.
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.
-
B.
Department of Physics, University of Cambridge
The Department of Physics at the University of Cambridge is a leading global center for research and teaching in physics, renowned for its contributions to fundamental science and its association with numerous Nobel laureates.
-
C.
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.
-
D.
School of the Biological Sciences, University of Cambridge
The School of the Biological Sciences, University of Cambridge is a major academic division that encompasses the university’s teaching and research in areas such as biology, biochemistry, genetics, neuroscience, and related life sciences.
-
E.
Department of Chemistry
The Department of Chemistry at MIT is a leading academic and research department renowned for pioneering work across physical, organic, inorganic, biological, and materials chemistry.
- 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 Chemistry, University of Cambridge Triple: [School of the Physical Sciences, University of Cambridge, hasUnit, Department of Chemistry, University of Cambridge]
Generated description
The Department of Chemistry at the University of Cambridge is a leading academic and research institution renowned for its contributions to chemical science and the training of world-class chemists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry, University of Cambridge Target entity description: The Department of Chemistry at the University of Cambridge is a leading academic and research institution renowned for its contributions to chemical science and the training of world-class chemists.
-
A.
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.
-
B.
Department of Physics, University of Cambridge
The Department of Physics at the University of Cambridge is a leading global center for research and teaching in physics, renowned for its contributions to fundamental science and its association with numerous Nobel laureates.
-
C.
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.
-
D.
School of the Biological Sciences, University of Cambridge
The School of the Biological Sciences, University of Cambridge is a major academic division that encompasses the university’s teaching and research in areas such as biology, biochemistry, genetics, neuroscience, and related life sciences.
-
E.
Department of Chemistry
The Department of Chemistry at MIT is a leading academic and research department renowned for pioneering work across physical, organic, inorganic, biological, and materials chemistry.
- 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_69a3c8b8d7d88190b43f7b6b0289445f |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c964b7a48190afa7cada4a499739 |
completed | March 1, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3c9bc3eec81909e6d1b7af6cf7d58 |
completed | March 1, 2026, 5:08 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.