Triple

T399684
Position Surface form Disambiguated ID Type / Status
Subject School of Technology, University of Cambridge E9251 entity
Predicate oversees P46 FINISHED
Object Cambridge Centre for Smart Infrastructure and Construction
The Cambridge Centre for Smart Infrastructure and Construction is a research centre at the University of Cambridge focused on developing and applying innovative sensing, data, and digital technologies to improve the design, performance, and management of civil infrastructure and construction.
E51733 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 Centre for Smart Infrastructure and Construction | Statement: [School of Technology, University of Cambridge, oversees, Cambridge Centre for Smart Infrastructure and Construction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge Centre for Smart Infrastructure and Construction
Context triple: [School of Technology, University of Cambridge, oversees, Cambridge Centre for Smart Infrastructure and Construction]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Cambridge Centre for Risk Studies
    The Cambridge Centre for Risk Studies is a research institution at the University of Cambridge that focuses on analyzing and modeling global systemic risks to support better decision-making for businesses and policymakers.
  • E. Department of Architecture, University of Cambridge
    The Department of Architecture at the University of Cambridge is a leading academic center for architectural education and research, renowned for its rigorous design studio culture and contributions to architectural theory and practice.
  • 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 Centre for Smart Infrastructure and Construction
Triple: [School of Technology, University of Cambridge, oversees, Cambridge Centre for Smart Infrastructure and Construction]
Generated description
The Cambridge Centre for Smart Infrastructure and Construction is a research centre at the University of Cambridge focused on developing and applying innovative sensing, data, and digital technologies to improve the design, performance, and management of civil infrastructure and construction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cambridge Centre for Smart Infrastructure and Construction
Target entity description: The Cambridge Centre for Smart Infrastructure and Construction is a research centre at the University of Cambridge focused on developing and applying innovative sensing, data, and digital technologies to improve the design, performance, and management of civil infrastructure and construction.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Cambridge Centre for Risk Studies
    The Cambridge Centre for Risk Studies is a research institution at the University of Cambridge that focuses on analyzing and modeling global systemic risks to support better decision-making for businesses and policymakers.
  • E. Department of Architecture, University of Cambridge
    The Department of Architecture at the University of Cambridge is a leading academic center for architectural education and research, renowned for its rigorous design studio culture and contributions to architectural theory and practice.
  • 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_69a41772e19c8190b02a212f13b4d8aa completed March 1, 2026, 10:39 a.m.
NEDg Description generation batch_69a417d8d8ac8190b9e36238b7bd9132 completed March 1, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69a4184c1b1c8190b728a2ef5cdc8346 completed March 1, 2026, 10:43 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.