Triple

T22703247
Position Surface form Disambiguated ID Type / Status
Subject Kyung Hee University E561377 entity
Predicate hasFaculty P141 FINISHED
Object College of Electronics and Information
The College of Electronics and Information is an academic division of Kyung Hee University specializing in education and research in electronics, information technology, and related engineering fields.
E1550137 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: College of Electronics and Information | Statement: [Kyung Hee University, hasFaculty, College of Electronics and Information]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Electronics and Information
Context triple: [Kyung Hee University, hasFaculty, College of Electronics and Information]
  • A. 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.
  • B. College of Information Science and Electronic Engineering
    The College of Information Science and Electronic Engineering is a major academic unit of Zhejiang University specializing in information technology, electronics, and related engineering disciplines.
  • C. College of Electrical and Information Engineering
    The College of Electrical and Information Engineering is an academic unit of Hunan University specializing in education and research in electrical engineering, electronics, and information technologies.
  • D. 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.
  • E. School of Electronic and Information Engineering
    The School of Electronic and Information Engineering is an academic unit of Soochow 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: College of Electronics and Information
Triple: [Kyung Hee University, hasFaculty, College of Electronics and Information]
Generated description
The College of Electronics and Information is an academic division of Kyung Hee University specializing in education and research in electronics, information technology, and related engineering fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Electronics and Information
Target entity description: The College of Electronics and Information is an academic division of Kyung Hee University specializing in education and research in electronics, information technology, and related engineering fields.
  • A. 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.
  • B. College of Information Science and Electronic Engineering
    The College of Information Science and Electronic Engineering is a major academic unit of Zhejiang University specializing in information technology, electronics, and related engineering disciplines.
  • C. College of Electrical and Information Engineering
    The College of Electrical and Information Engineering is an academic unit of Hunan University specializing in education and research in electrical engineering, electronics, and information technologies.
  • D. School of Electronic and Information Engineering
    The School of Electronic and Information Engineering is a major academic unit of South China University of Technology specializing in education and research in electronics, information engineering, and related technologies.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ed40b5c8190a2ac99d215de0c31 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b7f9ccb00819092fe5e9d71f545e4 completed May 18, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0b806b4e1481909babc97a8914947a completed May 18, 2026, 9:11 p.m.
Created at: April 17, 2026, 3:16 p.m.