Triple

T7974442
Position Surface form Disambiguated ID Type / Status
Subject Hunan University E185408 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E702989 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 Electrical and Information Engineering | Statement: [Hunan University, hasFaculty, College of Electrical and Information Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Electrical and Information Engineering
Context triple: [Hunan University, hasFaculty, College of Electrical and Information Engineering]
  • 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. School of Electrical and Information Engineering
    The School of Electrical and Information Engineering is a specialized academic unit of Tianjin University focused on education and research in electrical engineering, electronics, and information technologies.
  • C. 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.
  • 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 Information and Electrical Engineering
    The School of Electronic Information and Electrical Engineering is a major engineering school at Shanghai Jiao Tong University specializing in electronic engineering, information science, and related technologies.
  • 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 Electrical and Information Engineering
Triple: [Hunan University, hasFaculty, College of Electrical and Information Engineering]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Electrical and Information Engineering
Target entity description: 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.
  • 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. School of Electrical and Information Engineering
    The School of Electrical and Information Engineering is a specialized academic unit of Tianjin University focused on education and research in electrical engineering, electronics, and information technologies.
  • C. 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.
  • 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 Information and Electrical Engineering
    The School of Electronic Information and Electrical Engineering is a major engineering school at Shanghai Jiao Tong University specializing in electronic engineering, information science, and related technologies.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf42a508190bb661fce34ec0151 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0bb089881909d3ec17a3330ce25 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cbe43d29f8819080f7d729c4f28c75 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc32e2e1c48190b86218bff9af99f5 completed March 31, 2026, 8:47 p.m.
Created at: March 30, 2026, 5:14 p.m.