Triple

T14720842
Position Surface form Disambiguated ID Type / Status
Subject Wuhan University of Technology E345807 entity
Predicate hasSchool P113 FINISHED
Object School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit of Wuhan University of Technology specializing in education and research on advanced materials and their engineering applications.
E1115563 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 Materials Science and Engineering | Statement: [Wuhan University of Technology, hasSchool, School of Materials Science and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Materials Science and Engineering
Context triple: [Wuhan University of Technology, hasSchool, School of Materials Science and Engineering]
  • A. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Shanghai Jiao Tong University specializing in education and research on the properties, design, and applications of advanced materials.
  • B. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit specializing in the research and education of materials science and engineering disciplines within Hefei University of Technology.
  • C. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit specializing in materials research and education within Northeastern University in China.
  • D. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Xi'an Jiaotong University specializing in education and research on the properties, design, and applications of advanced materials.
  • E. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Tianjin University specializing in education and research on the properties, design, and applications of advanced materials.
  • 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 Materials Science and Engineering
Triple: [Wuhan University of Technology, hasSchool, School of Materials Science and Engineering]
Generated description
The School of Materials Science and Engineering is an academic unit of Wuhan University of Technology specializing in education and research on advanced materials and their engineering applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Materials Science and Engineering
Target entity description: The School of Materials Science and Engineering is an academic unit of Wuhan University of Technology specializing in education and research on advanced materials and their engineering applications.
  • A. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
  • B. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of South China University of Technology specializing in education and research on advanced materials and their applications.
  • C. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Northwestern Polytechnical University specializing in education and research on advanced materials and their applications in engineering and technology.
  • D. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit specializing in the research and education of materials science and engineering disciplines within Hefei University of Technology.
  • E. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Chongqing University specializing in education and research on the properties, design, and applications of advanced materials.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25d56fc8190871873ca55d49272 completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0957bb081908f1f382f3be8ec20 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf440a03c8190886119ab3c8ab610 completed May 8, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_69fdf4f2acbc8190b51ee456093a2813 completed May 8, 2026, 2:36 p.m.
Created at: April 10, 2026, 1:29 a.m.