Triple

T399701
Position Surface form Disambiguated ID Type / Status
Subject School of Technology, University of Cambridge E9251 entity
Predicate hasPart P35 FINISHED
Object Department of Computer Science and Technology, University of Cambridge E51732 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 Computer Science and Technology, University of Cambridge | Statement: [School of Technology, University of Cambridge, hasPart, Department of Computer Science and Technology, University of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Computer Science and Technology, University of Cambridge
Context triple: [School of Technology, University of Cambridge, hasPart, Department of Computer Science and Technology, University of Cambridge]
  • A. Department of Computer Science and Technology, University of Cambridge chosen
    The Department of Computer Science and Technology at the University of Cambridge is a leading academic and research centre in computer science, renowned for its pioneering contributions to computing theory, systems, and applications.
  • 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. School of the Physical Sciences, University of Cambridge
    The School of the Physical Sciences at the University of Cambridge is a major academic grouping that encompasses departments and research institutes focused on disciplines such as physics, chemistry, earth sciences, and related physical sciences.
  • E. Department of Applied Mathematics and Theoretical Physics, University of Cambridge
    The Department of Applied Mathematics and Theoretical Physics at the University of Cambridge is a leading research and teaching centre renowned for its work in areas such as cosmology, high-energy physics, fluid dynamics, and mathematical analysis.
  • 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_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_69a42a12e5548190aedc6e18ef24c0ce completed March 1, 2026, 11:59 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.