Triple
T317135
| 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 Geography, University of Cambridge
The Department of Geography at the University of Cambridge is a leading academic department renowned for its research and teaching in human and physical geography, environmental change, and spatial analysis.
|
E40870
|
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 Geography, University of Cambridge | Statement: [School of the Physical Sciences, University of Cambridge, hasUnit, Department of Geography, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Geography, University of Cambridge Context triple: [School of the Physical Sciences, University of Cambridge, hasUnit, Department of Geography, University of Cambridge]
-
A.
Department of Earth Sciences, University of Cambridge
The Department of Earth Sciences at the University of Cambridge is a leading academic and research institution focused on geology, geophysics, geochemistry, and related Earth and planetary sciences.
-
B.
Faculty of Geography
The Faculty of Geography at the University of Havana is an academic unit dedicated to teaching and research in physical and human geography, spatial analysis, and related environmental and territorial studies.
-
C.
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.
-
D.
Faculty of History, University of Cambridge
The Faculty of History at the University of Cambridge is a leading academic department renowned for its wide-ranging historical research and teaching, spanning periods from ancient to contemporary history.
-
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 Geography, University of Cambridge Triple: [School of the Physical Sciences, University of Cambridge, hasUnit, Department of Geography, University of Cambridge]
Generated description
The Department of Geography at the University of Cambridge is a leading academic department renowned for its research and teaching in human and physical geography, environmental change, and spatial analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Geography, University of Cambridge Target entity description: The Department of Geography at the University of Cambridge is a leading academic department renowned for its research and teaching in human and physical geography, environmental change, and spatial analysis.
-
A.
Department of Earth Sciences, University of Cambridge
The Department of Earth Sciences at the University of Cambridge is a leading academic and research institution focused on geology, geophysics, geochemistry, and related Earth and planetary sciences.
-
B.
Faculty of Geography
The Faculty of Geography at the University of Havana is an academic unit dedicated to teaching and research in physical and human geography, spatial analysis, and related environmental and territorial studies.
-
C.
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.
-
D.
Faculty of History, University of Cambridge
The Faculty of History at the University of Cambridge is a leading academic department renowned for its wide-ranging historical research and teaching, spanning periods from ancient to contemporary history.
-
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_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.