Triple

T5353096
Position Surface form Disambiguated ID Type / Status
Subject Chalmers University of Technology E102623 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Industrial and Materials Science
The Faculty of Industrial and Materials Science is a division of Chalmers University of Technology focused on research and education in manufacturing, product development, and advanced materials engineering.
E513895 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: Faculty of Industrial and Materials Science | Statement: [Chalmers University of Technology, hasFaculty, Faculty of Industrial and Materials Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Industrial and Materials Science
Context triple: [Chalmers University of Technology, hasFaculty, Faculty of Industrial and Materials Science]
  • A. Faculty of Materials Science and Engineering
    The Faculty of Materials Science and Engineering is an academic unit of the Warsaw University of Technology specializing in education and research on the properties, design, and applications of engineering materials.
  • B. Faculty of Materials Science and Engineering
    The Faculty of Materials Science and Engineering is an academic division of the Technion – Israel Institute of Technology specializing in the study, development, and engineering of advanced materials for science and industry.
  • C. Faculty of Materials Science and Technology
    The Faculty of Materials Science and Technology is an academic division of the Freiberg Mining Academy specializing in education and research on materials, their properties, processing, and technological applications.
  • D. 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.
  • E. Faculty of Materials and Metallurgical Engineering
    The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir University of 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: Faculty of Industrial and Materials Science
Triple: [Chalmers University of Technology, hasFaculty, Faculty of Industrial and Materials Science]
Generated description
The Faculty of Industrial and Materials Science is a division of Chalmers University of Technology focused on research and education in manufacturing, product development, and advanced materials engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Industrial and Materials Science
Target entity description: The Faculty of Industrial and Materials Science is a division of Chalmers University of Technology focused on research and education in manufacturing, product development, and advanced materials engineering.
  • A. Faculty of Materials Science and Engineering
    The Faculty of Materials Science and Engineering is an academic unit of the Warsaw University of Technology specializing in education and research on the properties, design, and applications of engineering materials.
  • B. Faculty of Materials Science and Engineering
    The Faculty of Materials Science and Engineering is an academic division of the Technion – Israel Institute of Technology specializing in the study, development, and engineering of advanced materials for science and industry.
  • C. Faculty of Materials Science and Technology
    The Faculty of Materials Science and Technology is an academic division of the Freiberg Mining Academy specializing in education and research on materials, their properties, processing, and technological applications.
  • D. 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.
  • E. Faculty of Materials and Metallurgical Engineering
    The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd861327288190b3f2720ce81e0de6 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21d836b081908a5fb4e73397fa44 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf22b24bac8190a679a8663dafc6d2 completed March 21, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69bf23fd528881909685671ec73d8f6c completed March 21, 2026, 11:04 p.m.
Created at: March 20, 2026, 2:01 p.m.