Triple

T399682
Position Surface form Disambiguated ID Type / Status
Subject School of Technology, University of Cambridge E9251 entity
Predicate oversees P46 FINISHED
Object 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.
E50968 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: Institute for Manufacturing, University of Cambridge | Statement: [School of Technology, University of Cambridge, oversees, Institute for Manufacturing, University of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Institute for Manufacturing, University of Cambridge
Context triple: [School of Technology, University of Cambridge, oversees, Institute for Manufacturing, University of Cambridge]
  • A. 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.
  • B. Department of Materials Science and Metallurgy, University of Cambridge
    The Department of Materials Science and Metallurgy at the University of Cambridge is a leading academic and research department specializing in the study, development, and engineering of materials and their properties.
  • C. 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.
  • D. Cambridge Stem Cell Institute
    The Cambridge Stem Cell Institute is a leading research center at the University of Cambridge dedicated to understanding stem cell biology and translating this knowledge into new treatments for human disease.
  • E. MIT School of Engineering
    The MIT School of Engineering is the largest and most renowned academic unit of the Massachusetts Institute of Technology, known globally for pioneering research and education in engineering and applied sciences.
  • 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: Institute for Manufacturing, University of Cambridge
Triple: [School of Technology, University of Cambridge, oversees, Institute for Manufacturing, University of Cambridge]
Generated description
The Institute for Manufacturing at the University of Cambridge is a leading research and education centre focused on manufacturing, technology management, and industrial innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Institute for Manufacturing, University of Cambridge
Target entity description: The Institute for Manufacturing at the University of Cambridge is a leading research and education centre focused on manufacturing, technology management, and industrial innovation.
  • A. 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.
  • B. Department of Materials Science and Metallurgy, University of Cambridge
    The Department of Materials Science and Metallurgy at the University of Cambridge is a leading academic and research department specializing in the study, development, and engineering of materials and their properties.
  • C. 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.
  • D. Cambridge Stem Cell Institute
    The Cambridge Stem Cell Institute is a leading research center at the University of Cambridge dedicated to understanding stem cell biology and translating this knowledge into new treatments for human disease.
  • E. MIT School of Engineering
    The MIT School of Engineering is the largest and most renowned academic unit of the Massachusetts Institute of Technology, known globally for pioneering research and education in engineering and applied sciences.
  • 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_69a4103f9f588190aabdf7f5d6422d09 completed March 1, 2026, 10:09 a.m.
NEDg Description generation batch_69a410e5ba148190a7fe0ee9861fb334 completed March 1, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69a41180ead48190a5edd2e66da413ba completed March 1, 2026, 10:14 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.