Triple

T9016117
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science and Engineering, Queen Mary University of London E215596 entity
Predicate hasUnit P35 FINISHED
Object School of Geography
The School of Geography is an academic department at Queen Mary University of London specializing in the study and research of human and physical geography and related environmental and spatial disciplines.
E773098 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 | Statement: [Faculty of Science and Engineering, Queen Mary University of London, hasUnit, School of Geography]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Geography
Context triple: [Faculty of Science and Engineering, Queen Mary University of London, hasUnit, School of Geography]
  • A. School of Geography
    The School of Geography at the University of Nottingham is an academic department specializing in the study and research of physical and human geography, environmental change, and spatial analysis.
  • B. School of Geography and Environmental Science
    The School of Geography and Environmental Science is an academic department at the University of Southampton focused on research and teaching in physical and human geography, environmental change, and sustainability.
  • C. 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.
  • D. Faculty of Geography
    The Faculty of Geography is an academic division of Taras Shevchenko National University of Kyiv specializing in geographical sciences, environmental studies, and related research and education.
  • E. Faculty of Geography
    The Faculty of Geography is an academic division specializing in geographical and related environmental sciences within Kryvyi Rih State Pedagogical University.
  • 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
Triple: [Faculty of Science and Engineering, Queen Mary University of London, hasUnit, School of Geography]
Generated description
The School of Geography is an academic department at Queen Mary University of London specializing in the study and research of human and physical geography and related environmental and spatial disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Geography
Target entity description: The School of Geography is an academic department at Queen Mary University of London specializing in the study and research of human and physical geography and related environmental and spatial disciplines.
  • A. School of Geography
    The School of Geography at the University of Nottingham is an academic department specializing in the study and research of physical and human geography, environmental change, and spatial analysis.
  • B. School of Geography and Environmental Science
    The School of Geography and Environmental Science is an academic department at the University of Southampton focused on research and teaching in physical and human geography, environmental change, and sustainability.
  • C. 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.
  • D. Faculty of Geography
    The Faculty of Geography is an academic division of Taras Shevchenko National University of Kyiv specializing in geographical sciences, environmental studies, and related research and education.
  • E. Faculty of Geography
    The Faculty of Geography is an academic division specializing in geographical and related environmental sciences within Kryvyi Rih State Pedagogical University.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fd2a888190a20bf18cd226a180 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba8bd8c81909860d561d9d16611 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdcae0e5c81909c50a0b53c1cf7cc completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd6a2ba481908d66fed8f05a1297 completed April 3, 2026, 3:31 p.m.
Created at: March 30, 2026, 7:06 p.m.