Triple

T1910744
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Jiao Tong University E38103 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E212080 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: [Shanghai Jiao Tong University, 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: [Shanghai Jiao Tong University, 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 at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
  • B. 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.
  • C. 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.
  • D. Institute of Materials Science and Engineering
    The Institute of Materials Science and Engineering is a specialized research and academic unit at Hanoi University of Science and Technology focused on advanced materials, their properties, and engineering applications.
  • E. Faculty of Materials Science
    The Faculty of Materials Science is a specialized division of Moscow State University focused on education and research in advanced materials and their properties, development, and applications.
  • 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: [Shanghai Jiao Tong University, hasFaculty, School of Materials Science and Engineering]
Generated description
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.
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 Shanghai Jiao Tong University specializing in education and research on the properties, design, and applications of advanced materials.
  • 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. 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.
  • C. 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.
  • D. Institute of Materials Science and Engineering
    The Institute of Materials Science and Engineering is a specialized research and academic unit at Hanoi University of Science and Technology focused on advanced materials, their properties, and engineering applications.
  • E. Faculty of Materials Science
    The Faculty of Materials Science is a specialized division of Moscow State University focused on education and research in advanced materials and their properties, development, and applications.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b88db48190a9229a7416054a85 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaffbc2c81908303548fac82ff52 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb8c221881909beb938ea9b8a56b completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec37a4f88190961edf8f9c81773c completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.