Triple

T11309938
Position Surface form Disambiguated ID Type / Status
Subject 大阪工業大学枚方キャンパス E267810 entity
Predicate 所属大学 P98662 FINISHED
Object 大阪工業大学
大阪工業大学は、大阪府を拠点とし、工学・情報科学・ロボティクスなどの分野で実践的な技術者教育と研究を行う私立大学です。
E917345 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: 大阪工業大学 | Statement: [大阪工業大学枚方キャンパス, 所属大学, 大阪工業大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大阪工業大学
Context triple: [大阪工業大学枚方キャンパス, 所属大学, 大阪工業大学]
  • A. Toyohashi University of Technology
    Toyohashi University of Technology is a Japanese national university in Toyohashi, Aichi Prefecture, specializing in engineering and technology education and research.
  • B. Tokyo University of Technology
    Tokyo University of Technology is a private Japanese university specializing in science, engineering, and design disciplines, located in Hachiōji, Tokyo.
  • C. Nagoya Institute of Technology
    Nagoya Institute of Technology is a Japanese national university in Nagoya renowned for its engineering and technology education and research.
  • D. Tokyo Institute of Technology
    Tokyo Institute of Technology is a leading Japanese national research university renowned for its strengths in science, engineering, and technology.
  • E. Nagaoka University of Technology
    Nagaoka University of Technology is a Japanese national engineering-focused university known for its strong emphasis on practical, industry-oriented technical education and research.
  • 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: 大阪工業大学
Triple: [大阪工業大学枚方キャンパス, 所属大学, 大阪工業大学]
Generated description
大阪工業大学は、大阪府を拠点とし、工学・情報科学・ロボティクスなどの分野で実践的な技術者教育と研究を行う私立大学です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 大阪工業大学
Target entity description: 大阪工業大学は、大阪府を拠点とし、工学・情報科学・ロボティクスなどの分野で実践的な技術者教育と研究を行う私立大学です。
  • A. Toyohashi University of Technology
    Toyohashi University of Technology is a Japanese national university in Toyohashi, Aichi Prefecture, specializing in engineering and technology education and research.
  • B. Tokyo University of Technology
    Tokyo University of Technology is a private Japanese university specializing in science, engineering, and design disciplines, located in Hachiōji, Tokyo.
  • C. Nagoya Institute of Technology
    Nagoya Institute of Technology is a Japanese national university in Nagoya renowned for its engineering and technology education and research.
  • D. Tokyo Institute of Technology
    Tokyo Institute of Technology is a leading Japanese national research university renowned for its strengths in science, engineering, and technology.
  • E. Nagaoka University of Technology
    Nagaoka University of Technology is a Japanese national engineering-focused university known for its strong emphasis on practical, industry-oriented technical education and research.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a7fc06881909afe85a600d25ff2 completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510fb1e288190a7a38fe896d7b91d completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516d0910481908fee176db0d9229b completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.