Triple
T438184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of the Biological Sciences, University of Cambridge |
E10055
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Department of Plant Sciences, University of Cambridge
The Department of Plant Sciences at the University of Cambridge is a leading academic and research department focused on plant biology, ecology, and related environmental sciences.
|
E55333
|
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 Plant Sciences, University of Cambridge | Statement: [School of the Biological Sciences, University of Cambridge, hasPart, Department of Plant Sciences, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Plant Sciences, University of Cambridge Context triple: [School of the Biological Sciences, University of Cambridge, hasPart, Department of Plant Sciences, University of Cambridge]
-
A.
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.
-
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 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.
-
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 Botany
The Department of Botany is an academic unit at Cairo University's Faculty of Science dedicated to the study and research of plant biology 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 Plant Sciences, University of Cambridge Triple: [School of the Biological Sciences, University of Cambridge, hasPart, Department of Plant Sciences, University of Cambridge]
Generated description
The Department of Plant Sciences at the University of Cambridge is a leading academic and research department focused on plant biology, ecology, and related environmental sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Plant Sciences, University of Cambridge Target entity description: The Department of Plant Sciences at the University of Cambridge is a leading academic and research department focused on plant biology, ecology, and related environmental sciences.
-
A.
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.
-
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 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.
-
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 Botany
The Department of Botany is an academic unit at Cairo University's Faculty of Science dedicated to the study and research of plant biology 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef26bb78819089b3b5dac0330619 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4366eb0588190beb5c43828f8ca45 |
completed | March 1, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_69a436c6f1a0819086f8d8f12bc82e87 |
completed | March 1, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4379eee248190a417b81afbb403ae |
completed | March 1, 2026, 12:57 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.