Triple

T9918625
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, The University of Tokyo E185932 entity
Predicate hasAcademicUnit P1488 FINISHED
Object Department of Applied Physics, The University of Tokyo
The Department of Applied Physics at the University of Tokyo is a leading academic unit specializing in cutting-edge research and education in physics and its technological applications.
E829496 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: Department of Applied Physics, The University of Tokyo | Statement: [Faculty of Engineering, The University of Tokyo, hasAcademicUnit, Department of Applied Physics, The University of Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Applied Physics, The University of Tokyo
Context triple: [Faculty of Engineering, The University of Tokyo, hasAcademicUnit, Department of Applied Physics, The University of Tokyo]
  • A. Department of Physics, The University of Tokyo
    The Department of Physics at the University of Tokyo is a leading academic and research institution in Japan, renowned for its contributions to fundamental and applied physics across a wide range of subfields.
  • B. Institute for Solid State Physics, University of Tokyo
    The Institute for Solid State Physics at the University of Tokyo is a leading Japanese research institute specializing in condensed matter physics and related materials science.
  • C. Research Center for Advanced Science and Technology, University of Tokyo
    The Research Center for Advanced Science and Technology at the University of Tokyo is a leading interdisciplinary institute focused on pioneering research and innovation across cutting-edge fields in science and technology.
  • D. Graduate School of Engineering, The University of Tokyo
    The Graduate School of Engineering at the University of Tokyo is a leading Japanese engineering institution renowned for its advanced research and education across a wide range of engineering and technology disciplines.
  • E. Institute of Industrial Science, University of Tokyo
    The Institute of Industrial Science at the University of Tokyo is a leading Japanese research institute dedicated to advanced science and engineering, spanning fields from information technology and robotics to materials and environmental studies.
  • 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: Department of Applied Physics, The University of Tokyo
Triple: [Faculty of Engineering, The University of Tokyo, hasAcademicUnit, Department of Applied Physics, The University of Tokyo]
Generated description
The Department of Applied Physics at the University of Tokyo is a leading academic unit specializing in cutting-edge research and education in physics and its technological applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Applied Physics, The University of Tokyo
Target entity description: The Department of Applied Physics at the University of Tokyo is a leading academic unit specializing in cutting-edge research and education in physics and its technological applications.
  • A. Department of Physics, The University of Tokyo
    The Department of Physics at the University of Tokyo is a leading academic and research institution in Japan, renowned for its contributions to fundamental and applied physics across a wide range of subfields.
  • B. Institute for Solid State Physics, University of Tokyo
    The Institute for Solid State Physics at the University of Tokyo is a leading Japanese research institute specializing in condensed matter physics and related materials science.
  • C. Research Center for Advanced Science and Technology, University of Tokyo
    The Research Center for Advanced Science and Technology at the University of Tokyo is a leading interdisciplinary institute focused on pioneering research and innovation across cutting-edge fields in science and technology.
  • D. Graduate School of Engineering, The University of Tokyo
    The Graduate School of Engineering at the University of Tokyo is a leading Japanese engineering institution renowned for its advanced research and education across a wide range of engineering and technology disciplines.
  • E. Institute of Industrial Science, University of Tokyo
    The Institute of Industrial Science at the University of Tokyo is a leading Japanese research institute dedicated to advanced science and engineering, spanning fields from information technology and robotics to materials and environmental studies.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5685a908190ab3e55b9bf9613f6 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dec42848190ab9f8663155df83f completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ef343a4819093b915a66c63fbaa completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212d0ed108190bbde23439734618a completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:42 p.m.