Triple

T7670946
Position Surface form Disambiguated ID Type / Status
Subject VSB – Technical University of Ostrava E173744 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Materials Science and Technology
The Faculty of Materials Science and Technology is an academic unit of VSB – Technical University of Ostrava focused on education and research in materials engineering, advanced technologies, and related applied sciences.
E681099 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 Materials Science and Technology | Statement: [VSB – Technical University of Ostrava, hasFaculty, Faculty of Materials Science and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Materials Science and Technology
Context triple: [VSB – Technical University of Ostrava, hasFaculty, Faculty of Materials Science and Technology]
  • A. 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.
  • 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 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.
  • 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 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.
  • 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 Materials Science and Technology
Triple: [VSB – Technical University of Ostrava, hasFaculty, Faculty of Materials Science and Technology]
Generated description
The Faculty of Materials Science and Technology is an academic unit of VSB – Technical University of Ostrava focused on education and research in materials engineering, advanced technologies, and related applied sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Materials Science and Technology
Target entity description: The Faculty of Materials Science and Technology is an academic unit of VSB – Technical University of Ostrava focused on education and research in materials engineering, advanced technologies, and related applied sciences.
  • A. 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.
  • B. 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.
  • C. 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.
  • 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 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.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701dd3c808190990e07ced94b3297 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a229dd348190b9a781b4d34d7b5b completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a31b932c8190b8be20c92009210b completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3f3b02081909cfb61d34f97fe07 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 4 p.m.