Triple

T8308177
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Imperial College London E194516 entity
Predicate hasDepartment P35 FINISHED
Object Dyson School of Design Engineering, Imperial College London
The Dyson School of Design Engineering at Imperial College London is a leading academic department that combines engineering, design, and innovation to educate designers and engineers who develop user-centered technologies and products.
E726962 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: Dyson School of Design Engineering, Imperial College London | Statement: [Faculty of Engineering, Imperial College London, hasDepartment, Dyson School of Design Engineering, Imperial College London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dyson School of Design Engineering, Imperial College London
Context triple: [Faculty of Engineering, Imperial College London, hasDepartment, Dyson School of Design Engineering, Imperial College London]
  • A. Dyson Institute of Engineering and Technology
    The Dyson Institute of Engineering and Technology is a private higher education institution in the UK that offers an industry-integrated engineering degree program where students both study and work within Dyson.
  • B. James Dyson Foundation
    The James Dyson Foundation is a charitable organization that supports design and engineering education and innovation, particularly among young people.
  • C. Cambridge Engineering Design Centre
    The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
  • 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. Crystal Palace School of Engineering
    Crystal Palace School of Engineering was a British technical institution known for training early 20th-century engineers, including aviation pioneer Geoffrey de Havilland.
  • 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: Dyson School of Design Engineering, Imperial College London
Triple: [Faculty of Engineering, Imperial College London, hasDepartment, Dyson School of Design Engineering, Imperial College London]
Generated description
The Dyson School of Design Engineering at Imperial College London is a leading academic department that combines engineering, design, and innovation to educate designers and engineers who develop user-centered technologies and products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dyson School of Design Engineering, Imperial College London
Target entity description: The Dyson School of Design Engineering at Imperial College London is a leading academic department that combines engineering, design, and innovation to educate designers and engineers who develop user-centered technologies and products.
  • A. Dyson Institute of Engineering and Technology
    The Dyson Institute of Engineering and Technology is a private higher education institution in the UK that offers an industry-integrated engineering degree program where students both study and work within Dyson.
  • B. James Dyson Foundation
    The James Dyson Foundation is a charitable organization that supports design and engineering education and innovation, particularly among young people.
  • C. Cambridge Engineering Design Centre
    The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
  • 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. Crystal Palace School of Engineering
    Crystal Palace School of Engineering was a British technical institution known for training early 20th-century engineers, including aviation pioneer Geoffrey de Havilland.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2c06608190bd21633af07a530b completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955bd69081909d669139c576efb8 completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cdb20cc18081908269516e49ce0fd3 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb44ff9a88190bbcb4a56f9b44dc1 completed April 2, 2026, 12:12 a.m.
Created at: March 30, 2026, 5:54 p.m.