Triple

T5151075
Position Surface form Disambiguated ID Type / Status
Subject Óbuda University E116193 entity
Predicate hasResearchUnit P1488 FINISHED
Object Doctoral School on Safety and Security Sciences
The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
E496963 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: Doctoral School on Safety and Security Sciences | Statement: [Óbuda University, hasResearchUnit, Doctoral School on Safety and Security Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doctoral School on Safety and Security Sciences
Context triple: [Óbuda University, hasResearchUnit, Doctoral School on Safety and Security Sciences]
  • A. School of Computer and Cyber Sciences
    The School of Computer and Cyber Sciences is an academic unit specializing in computer science, cybersecurity, and related technological disciplines within Augusta University.
  • B. Master of Science in Information Technology – Privacy Engineering
    The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
  • C. School for Advanced Digital Technology
    The School for Advanced Digital Technology is a specialized division of the Southern Alberta Institute of Technology focused on cutting-edge digital skills, innovation, and technology-driven education.
  • D. USENIX Security
    USENIX Security is a leading annual academic conference focused on cutting-edge research in computer security and privacy.
  • E. ACM ICWE
    ACM ICWE is a leading annual research conference focused on advances in web engineering, covering the design, development, and evaluation of web-based systems 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: Doctoral School on Safety and Security Sciences
Triple: [Óbuda University, hasResearchUnit, Doctoral School on Safety and Security Sciences]
Generated description
The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doctoral School on Safety and Security Sciences
Target entity description: The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
  • A. School of Computer and Cyber Sciences
    The School of Computer and Cyber Sciences is an academic unit specializing in computer science, cybersecurity, and related technological disciplines within Augusta University.
  • B. Master of Science in Information Technology – Privacy Engineering
    The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
  • C. School for Advanced Digital Technology
    The School for Advanced Digital Technology is a specialized division of the Southern Alberta Institute of Technology focused on cutting-edge digital skills, innovation, and technology-driven education.
  • D. USENIX Security
    USENIX Security is a leading annual academic conference focused on cutting-edge research in computer security and privacy.
  • E. ACM ICWE
    ACM ICWE is a leading annual research conference focused on advances in web engineering, covering the design, development, and evaluation of web-based systems 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78d965548190b09f574acf3b9b1a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed004538c81908fac258ea99f7e63 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed07d478c8190aac215cb05bedae0 completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed0d56af481908a3fb0693f151fb3 completed March 21, 2026, 5:09 p.m.
Created at: March 20, 2026, 1:44 p.m.