Triple

T7331002
Position Surface form Disambiguated ID Type / Status
Subject Goldsmiths’ Professor of Metallurgy at the University of Cambridge E168997 entity
Predicate affiliatedWith P254 FINISHED
Object Department of Materials Science and Metallurgy, University of Cambridge E40683 NE FINISHED

How this triple was built (2 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: Department of Materials Science and Metallurgy, University of Cambridge | Statement: [Goldsmiths’ Professor of Metallurgy at the University of Cambridge, affiliatedWith, Department of Materials Science and Metallurgy, University of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Department of Materials Science and Metallurgy, University of Cambridge
Context triple: [Goldsmiths’ Professor of Metallurgy at the University of Cambridge, affiliatedWith, Department of Materials Science and Metallurgy, University of Cambridge]
  • A. Department of Materials Science and Metallurgy, University of Cambridge chosen
    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.
  • B. Department of Materials Science and Engineering, University of Sheffield
    The Department of Materials Science and Engineering at the University of Sheffield is an academic department specializing in the research and teaching of materials science, engineering, and related technologies.
  • 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. Department of Chemical Engineering and Biotechnology, University of Cambridge
    The Department of Chemical Engineering and Biotechnology at the University of Cambridge is a leading academic and research department that integrates chemical engineering principles with biotechnology to address challenges in areas such as energy, healthcare, and sustainable manufacturing.
  • E. Department of Materials Science and Engineering (University of Michigan)
    The Department of Materials Science and Engineering at the University of Michigan is an academic department focused on research and education in the properties, design, and applications of materials for engineering and technology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0ab0b1881909f8f086b81fdddb7 completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef16f35881909fffba1df072f0d6 completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:03 p.m.