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.