Triple

T925408
Position Surface form Disambiguated ID Type / Status
Subject University of St Andrews E19971 entity
Predicate hasSchool P113 FINISHED
Object School of Geography and Sustainable Development
The School of Geography and Sustainable Development is an academic department at the University of St Andrews focused on research and teaching in human and physical geography, environmental change, and sustainability.
E109734 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: School of Geography and Sustainable Development | Statement: [University of St Andrews, hasSchool, School of Geography and Sustainable Development]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Geography and Sustainable Development
Context triple: [University of St Andrews, hasSchool, School of Geography and Sustainable Development]
  • A. 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.
  • B. School of Environment, Education and Development
    The School of Environment, Education and Development is an academic unit at the University of Manchester that focuses on interdisciplinary teaching and research in areas such as environmental studies, education, planning, and international development.
  • C. 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.
  • D. Fenner School of Environment and Society
    The Fenner School of Environment and Society is a leading interdisciplinary research and teaching institution at the Australian National University focused on environmental science, sustainability, and human–environment interactions.
  • E. Faculty of Geoscience and Geography
    The Faculty of Geoscience and Geography is an academic division of the University of Göttingen specializing in research and teaching on the Earth’s systems, environments, and spatial processes.
  • 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: School of Geography and Sustainable Development
Triple: [University of St Andrews, hasSchool, School of Geography and Sustainable Development]
Generated description
The School of Geography and Sustainable Development is an academic department at the University of St Andrews focused on research and teaching in human and physical geography, environmental change, and sustainability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Geography and Sustainable Development
Target entity description: The School of Geography and Sustainable Development is an academic department at the University of St Andrews focused on research and teaching in human and physical geography, environmental change, and sustainability.
  • A. 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.
  • B. School of Environment, Education and Development
    The School of Environment, Education and Development is an academic unit at the University of Manchester that focuses on interdisciplinary teaching and research in areas such as environmental studies, education, planning, and international development.
  • C. 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.
  • D. Fenner School of Environment and Society
    The Fenner School of Environment and Society is a leading interdisciplinary research and teaching institution at the Australian National University focused on environmental science, sustainability, and human–environment interactions.
  • E. Faculty of Geoscience and Geography
    The Faculty of Geoscience and Geography is an academic division of the University of Göttingen specializing in research and teaching on the Earth’s systems, environments, and spatial processes.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b32ad9f88190b7d477d0a9a9dbc8 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee0becc0819089b3dadc618cf83c completed March 4, 2026, 8:32 a.m.
NEDg Description generation batch_69a7f3607c70819080c5e3e49ccc6de5 completed March 4, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69a7f3d1e97881909cbb97a8ca89c574 completed March 4, 2026, 8:56 a.m.
Created at: March 1, 2026, 7:40 p.m.