Triple

T5059379
Position Surface form Disambiguated ID Type / Status
Subject Northeastern University (China) E113984 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E491250 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: [Northeastern University (China), hasFaculty, 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: [Northeastern University (China), hasFaculty, School of Materials Science and Engineering]
  • A. 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.
  • 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. 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.
  • E. 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.
  • 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: [Northeastern University (China), hasFaculty, School of Materials Science and Engineering]
Generated description
The School of Materials Science and Engineering is an academic unit specializing in materials research and education within Northeastern University in China.
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 specializing in materials research and education within Northeastern University in China.
  • 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. 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.
  • E. 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.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7453daac8190b2946702c6c4bd93 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49283f48190b5db5ad78f332f95 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea67c2c3c8190af0caba391bfe69c completed March 21, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69beaa2c9bf88190b9f96474a1b4f13d completed March 21, 2026, 2:24 p.m.
Created at: March 20, 2026, 1:38 p.m.