Triple

T3681803
Position Surface form Disambiguated ID Type / Status
Subject Poznań University of Technology E78128 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Materials Engineering and Technical Physics
The Faculty of Materials Engineering and Technical Physics is an academic unit of Poznań University of Technology specializing in education and research in materials science, engineering, and applied physics.
E379871 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 and Technical Physics | Statement: [Poznań University of Technology, hasFaculty, Faculty of Materials Engineering and Technical Physics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Materials Engineering and Technical Physics
Context triple: [Poznań University of Technology, hasFaculty, Faculty of Materials Engineering and Technical Physics]
  • 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 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.
  • 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 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.
  • 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: Faculty of Materials Engineering and Technical Physics
Triple: [Poznań University of Technology, hasFaculty, Faculty of Materials Engineering and Technical Physics]
Generated description
The Faculty of Materials Engineering and Technical Physics is an academic unit of Poznań University of Technology specializing in education and research in materials science, engineering, and applied physics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Materials Engineering and Technical Physics
Target entity description: The Faculty of Materials Engineering and Technical Physics is an academic unit of Poznań University of Technology specializing in education and research in materials science, engineering, and applied physics.
  • 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 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.
  • 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 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.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc492aed481909e8986378ad283fc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3b306c081909b3857daa4f97ce2 completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c56b76ac81909ae8d2ef10b8ed28 completed March 14, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69b4c62f7b7c81909150d8e40bb2dda4 completed March 14, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:25 p.m.