Triple

T6431373
Position Surface form Disambiguated ID Type / Status
Subject School of Engineering (EPFL) E129785 entity
Predicate hasDepartment P35 FINISHED
Object Institute of Materials Science and Engineering
The Institute of Materials Science and Engineering is an academic and research unit at EPFL focused on the study, development, and engineering of advanced materials and their applications.
E591831 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: Institute of Materials Science and Engineering | Statement: [School of Engineering (EPFL), hasDepartment, Institute of Materials Science and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Institute of Materials Science and Engineering
Context triple: [School of Engineering (EPFL), hasDepartment, Institute of Materials Science and Engineering]
  • A. 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.
  • B. Institute for Materials Research
    The Institute for Materials Research is a leading Japanese research center at Tohoku University specializing in advanced materials science and engineering.
  • 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 at Huazhong University of Science and Technology 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: Institute of Materials Science and Engineering
Triple: [School of Engineering (EPFL), hasDepartment, Institute of Materials Science and Engineering]
Generated description
The Institute of Materials Science and Engineering is an academic and research unit at EPFL focused on the study, development, and engineering of advanced materials and their applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Institute of Materials Science and Engineering
Target entity description: The Institute of Materials Science and Engineering is an academic and research unit at EPFL focused on the study, development, and engineering of advanced materials and their applications.
  • A. 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.
  • B. Institute for Materials Research
    The Institute for Materials Research is a leading Japanese research center at Tohoku University specializing in advanced materials science and engineering.
  • 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 at Huazhong University of Science and Technology 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693cadf08190aca84888a3440b3d completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e9ae8481909229bcf6d5e793d3 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c641ff05c08190ab9526b095b038fa completed March 27, 2026, 8:38 a.m.
NED2 Entity disambiguation (via description) batch_69c642a344e48190bccb0f0d122fca4c completed March 27, 2026, 8:41 a.m.
Created at: March 22, 2026, 4:44 p.m.