Triple

T7741578
Position Surface form Disambiguated ID Type / Status
Subject Silesian University of Technology E175521 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Materials Engineering
The Faculty of Materials Engineering is an academic unit of the Silesian University of Technology specializing in education and research on the properties, processing, and applications of engineering materials.
E686441 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 Engineering | Statement: [Silesian University of Technology, hasFaculty, Faculty of Materials Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Materials Engineering
Context triple: [Silesian University of Technology, hasFaculty, Faculty of Materials Engineering]
  • A. 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.
  • 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
    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.
  • D. 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.
  • E. 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.
  • 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 Engineering
Triple: [Silesian University of Technology, hasFaculty, Faculty of Materials Engineering]
Generated description
The Faculty of Materials Engineering is an academic unit of the Silesian University of Technology specializing in education and research on the properties, processing, and applications of engineering materials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Materials Engineering
Target entity description: The Faculty of Materials Engineering is an academic unit of the Silesian University of Technology specializing in education and research on the properties, processing, and applications of engineering materials.
  • A. 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.
  • 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
    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.
  • D. 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.
  • E. 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.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035df9348190ad3f3d845207bf4d completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be454e708190b410dada4f4f1e97 completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bface14c8190a78d7ed43316bffd completed March 29, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69c8c02e7a548190b2c5ad84e4c3f1fb completed March 29, 2026, 6:01 a.m.
Created at: March 27, 2026, 4:07 p.m.