Triple

T10142407
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Institute of Technology E231616 entity
Predicate hasFaculty P141 FINISHED
Object School of Materials and Chemical Technology
The School of Materials and Chemical Technology is a specialized faculty of the Tokyo Institute of Technology focused on education and research in materials science, chemical engineering, and related technologies.
E844576 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 and Chemical Technology | Statement: [Tokyo Institute of Technology, hasFaculty, School of Materials and Chemical Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Materials and Chemical Technology
Context triple: [Tokyo Institute of Technology, hasFaculty, School of Materials and Chemical 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 Nanyang Technological University specializing in education and research on advanced materials and their applications in engineering and technology.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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 and Chemical Technology
Triple: [Tokyo Institute of Technology, hasFaculty, School of Materials and Chemical Technology]
Generated description
The School of Materials and Chemical Technology is a specialized faculty of the Tokyo Institute of Technology focused on education and research in materials science, chemical engineering, and related technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Materials and Chemical Technology
Target entity description: The School of Materials and Chemical Technology is a specialized faculty of the Tokyo Institute of Technology focused on education and research in materials science, chemical engineering, and related technologies.
  • A. 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.
  • B. 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.
  • C. 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.
  • 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 Tianjin 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb273fec8190818707167e031d58 completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e60e51488190a6097837eb3ce18a completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2ea2b0c2c8190ad96980673f182c1 completed April 5, 2026, 11:03 p.m.
NED2 Entity disambiguation (via description) batch_69d2ea7fe7948190baa7ffcfe5c399dd completed April 5, 2026, 11:04 p.m.
Created at: March 30, 2026, 9:07 p.m.