Triple

T13377897
Position Surface form Disambiguated ID Type / Status
Subject Taiyuan University of Technology E319236 entity
Predicate hasFaculty P141 FINISHED
Object School of Electrical and Power Engineering
The School of Electrical and Power Engineering is an academic unit specializing in electrical engineering and power systems education and research within Taiyuan University of Technology.
E1036270 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: School of Electrical and Power Engineering | Statement: [Taiyuan University of Technology, hasFaculty, School of Electrical and Power Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Electrical and Power Engineering
Context triple: [Taiyuan University of Technology, hasFaculty, School of Electrical and Power Engineering]
  • A. School of Energy and Power Engineering
    The School of Energy and Power Engineering is a specialized academic unit of Xi'an Jiaotong University focused on education and research in energy systems, power engineering, and related technologies.
  • B. School of Electrical Engineering
    The School of Electrical Engineering is a major academic unit of Hanoi University of Science and Technology specializing in education and research in electrical and related engineering fields.
  • C. School of Electrical Engineering
    The School of Electrical Engineering is a constituent school of Aalto University in Finland, focusing on education and research in electrical engineering, electronics, communications, and related technologies.
  • D. School of Electrical Engineering
    The School of Electrical Engineering is a major academic unit of Xi'an Jiaotong University specializing in education and research in electrical and power engineering and related technologies.
  • E. School of Electrical Engineering
    The School of Electrical Engineering is a specialized academic unit of Chongqing University focused on education and research in electrical engineering 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: School of Electrical and Power Engineering
Triple: [Taiyuan University of Technology, hasFaculty, School of Electrical and Power Engineering]
Generated description
The School of Electrical and Power Engineering is an academic unit specializing in electrical engineering and power systems education and research within Taiyuan University of Technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Electrical and Power Engineering
Target entity description: The School of Electrical and Power Engineering is an academic unit specializing in electrical engineering and power systems education and research within Taiyuan University of Technology.
  • A. School of Energy and Power Engineering
    The School of Energy and Power Engineering is a specialized academic unit of Xi'an Jiaotong University focused on education and research in energy systems, power engineering, and related technologies.
  • B. School of Electrical Engineering
    The School of Electrical Engineering is a major academic unit of Hanoi University of Science and Technology specializing in education and research in electrical and related engineering fields.
  • C. School of Electrical Engineering
    The School of Electrical Engineering is a major academic unit of Xi'an Jiaotong University specializing in education and research in electrical and power engineering and related technologies.
  • D. School of Electrical Engineering
    The School of Electrical Engineering is a specialized academic unit of Chongqing University focused on education and research in electrical engineering and related technologies.
  • E. School of Electrical Engineering
    The School of Electrical Engineering is a constituent school of Aalto University in Finland, focusing on education and research in electrical engineering, electronics, communications, 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce56c6c8190adf4e19f6d1bc233 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f726893a8c8190b26b5f7c7fb96f1f completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7276776ec81908769cd9f1cc4707e completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f7280cbb6c819090bee7862e00b900 completed May 3, 2026, 10:48 a.m.
Created at: April 9, 2026, 9:33 p.m.