Triple

T1593677
Position Surface form Disambiguated ID Type / Status
Subject Graduate School of Information Science and Technology, The University of Tokyo E34230 entity
Predicate hasDepartment P35 FINISHED
Object Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo E34230 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 Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo | Statement: [Graduate School of Information Science and Technology, The University of Tokyo, hasDepartment, Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo
Context triple: [Graduate School of Information Science and Technology, The University of Tokyo, hasDepartment, Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo]
  • A. Graduate School of Information Science and Technology chosen
    The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
  • B. Graduate School of Information Science and Technology
    The Graduate School of Information Science and Technology is a specialized graduate faculty at Osaka University focused on advanced research and education in information science, computing, and related technologies.
  • C. Graduate School of Information Science
    The Graduate School of Information Science at Nagoya University is a specialized graduate institution focused on advanced research and education in information science, computing, and related technologies.
  • D. 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.
  • E. Graduate School of Information Science and Electrical Engineering
    The Graduate School of Information Science and Electrical Engineering is a specialized graduate division of Kyushu University focused on advanced research and education in information technology, computer science, and electrical and electronic engineering.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90929b32c8190be1a4b2d7b685735 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b5d6f48190baac5d3d6fe13206 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.