Triple

T18942955
Position Surface form Disambiguated ID Type / Status
Subject 近畿大学 E463431 entity
Predicate 学部 P29025 FINISHED
Object 工学部
工学部は、近畿大学に設置された工学系の専門教育と研究を行う学部です。
 E1352073 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: 工学部 | Statement: [近畿大学, 学部, 工学部]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 工学部
Context triple: [近畿大学, 学部, 工学部]
  • A. 工学部
    工学部は、神戸大学において工学分野の専門教育と研究を担う学部です。
  • B. 理工学部
    理工学部は、近畿大学に設置されている理学・工学分野の専門教育と研究を行う学部です。
  • C. College of Electronic and Information Engineering
    The College of Electronic and Information Engineering is an academic unit of Shenzhen University specializing in education and research in electronics, information engineering, and related technologies.
  • D. School of Information and Control Engineering
    The School of Information and Control Engineering is an academic unit specializing in information technology, automation, and control systems within the China University of Mining and Technology.
  • E. School of Electronic and Information Engineering
    The School of Electronic and Information Engineering is an academic unit of Xi'an Jiaotong University specializing in education and research in electronics, information technology, and related engineering fields.
  • 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: 工学部
Triple: [近畿大学, 学部, 工学部]
Generated description
工学部は、近畿大学に設置された工学系の専門教育と研究を行う学部です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 工学部
Target entity description: 工学部は、近畿大学に設置された工学系の専門教育と研究を行う学部です。
  • A. 工学部
    工学部は、神戸大学において工学分野の専門教育と研究を担う学部です。
  • B. 理工学部
    理工学部は、近畿大学に設置されている理学・工学分野の専門教育と研究を行う学部です。
  • C. College of Electronic and Information Engineering
    The College of Electronic and Information Engineering is an academic unit of Shenzhen University specializing in education and research in electronics, information engineering, and related technologies.
  • D. School of Information and Control Engineering
    The School of Information and Control Engineering is an academic unit specializing in information technology, automation, and control systems within the China University of Mining and Technology.
  • E. School of Electronic and Information Engineering
    The School of Electronic and Information Engineering is an academic unit of Xi'an Jiaotong University specializing in education and research in electronics, information technology, and related engineering fields.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3ed847c8190a911a61673608a5c completed April 20, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad2e3a788190a7f500761499d7ab completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05ae1f18e881909c6292a6a0280987 completed May 14, 2026, 11:12 a.m.
NED2 Entity disambiguation (via description) batch_6a05aec984988190b567c7e3a7823755 completed May 14, 2026, 11:15 a.m.
Created at: April 10, 2026, 11:59 a.m.