Triple

T399683
Position Surface form Disambiguated ID Type / Status
Subject School of Technology, University of Cambridge E9251 entity
Predicate oversees P46 FINISHED
Object 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.
E51172 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: Cambridge Engineering Design Centre | Statement: [School of Technology, University of Cambridge, oversees, Cambridge Engineering Design Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge Engineering Design Centre
Context triple: [School of Technology, University of Cambridge, oversees, Cambridge Engineering Design Centre]
  • A. Institute for Manufacturing, University of Cambridge
    The Institute for Manufacturing at the University of Cambridge is a leading research and education centre focused on manufacturing, technology management, and industrial innovation.
  • B. School of Technology, University of Cambridge
    The School of Technology at the University of Cambridge is a major academic division that oversees engineering, business, and related technology-focused departments and research centers within the university.
  • C. 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.
  • D. Cambridge Science Park
    Cambridge Science Park is a major research and technology hub in Cambridge, England, hosting numerous high-tech companies and startups within the broader Silicon Fen cluster.
  • E. University of Southampton
    The University of Southampton is a leading UK research-intensive university renowned for its strengths in engineering, oceanography, computer science, and interdisciplinary innovation.
  • 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: Cambridge Engineering Design Centre
Triple: [School of Technology, University of Cambridge, oversees, Cambridge Engineering Design Centre]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cambridge Engineering Design Centre
Target entity description: 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.
  • A. Institute for Manufacturing, University of Cambridge
    The Institute for Manufacturing at the University of Cambridge is a leading research and education centre focused on manufacturing, technology management, and industrial innovation.
  • B. School of Technology, University of Cambridge
    The School of Technology at the University of Cambridge is a major academic division that oversees engineering, business, and related technology-focused departments and research centers within the university.
  • C. 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.
  • D. Cambridge Science Park
    Cambridge Science Park is a major research and technology hub in Cambridge, England, hosting numerous high-tech companies and startups within the broader Silicon Fen cluster.
  • E. University of Southampton
    The University of Southampton is a leading UK research-intensive university renowned for its strengths in engineering, oceanography, computer science, and interdisciplinary innovation.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8d0ca881909d786e8eed9b6748 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f275ac81908b6fd095a6d5a415 completed March 1, 2026, 10:24 a.m.
NEDg Description generation batch_69a41464d2a8819085ee2fc8a86a7628 completed March 1, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69a414a7aff08190ab54f4118cec790d completed March 1, 2026, 10:27 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.