Triple

T2663570
Position Surface form Disambiguated ID Type / Status
Subject Nanyang Technological University E54779 entity
Predicate hasSchool P113 FINISHED
Object School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit of Nanyang Technological University specializing in education and research on advanced materials and their applications in engineering and technology.
E286659 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: [Nanyang Technological University, 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: [Nanyang Technological University, 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 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 Shanghai Jiao Tong University specializing in education and research on the properties, design, and applications of advanced materials.
  • C. 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.
  • D. Department of Materials Science and Engineering
    The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
  • E. Department of Materials Engineering
    The Department of Materials Engineering is an academic unit at the University of Tokyo focused on research and education in the science, design, and engineering 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: [Nanyang Technological University, hasSchool, School of Materials Science and Engineering]
Generated description
The School of Materials Science and Engineering is an academic unit of Nanyang Technological University specializing in education and research on advanced materials and their applications in engineering and technology.
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 Nanyang Technological University specializing in education and research on advanced materials and their applications in engineering and technology.
  • 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 Shanghai Jiao Tong University specializing in education and research on the properties, design, and applications of advanced materials.
  • C. 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.
  • D. Department of Materials Science and Engineering
    The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
  • E. Department of Materials Engineering
    The Department of Materials Engineering is an academic unit at the University of Tokyo focused on research and education in the science, design, and engineering 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96b9f1c8190a8a9460ca88a9aaf completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98dc36d8819086fc739c324f0761 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9a14cda48190bd903495ce48a4f0 completed March 10, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_69af9a7b27608190ba76048c4c8a4bae completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:54 p.m.