Triple

T7114587
Position Surface form Disambiguated ID Type / Status
Subject University of National and World Economy E165786 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Applied Informatics and Statistics
The Faculty of Applied Informatics and Statistics is an academic unit specializing in information technologies, data analysis, and statistical methods within the University of National and World Economy in Bulgaria.
E641761 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 Applied Informatics and Statistics | Statement: [University of National and World Economy, hasFaculty, Faculty of Applied Informatics and Statistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Applied Informatics and Statistics
Context triple: [University of National and World Economy, hasFaculty, Faculty of Applied Informatics and Statistics]
  • A. Faculty of Informatics and Statistics
    The Faculty of Informatics and Statistics is a specialized faculty of the University of Economics in Prague focused on information technology, data analysis, and related quantitative disciplines.
  • B. Faculty of Applied Informatics
    The Faculty of Applied Informatics is a specialized faculty of Tomas Bata University in Zlín focused on education and research in information technology, computer science, and related applied technical fields.
  • C. Faculty of Information Engineering Informatics and Statistics
    The Faculty of Information Engineering, Informatics and Statistics is a specialized academic division of Sapienza University of Rome focused on education and research in information engineering, computer science, and statistical disciplines.
  • D. Faculty of Mathematics, Informatics and Statistics
    The Faculty of Mathematics, Informatics and Statistics is an academic division of Ludwig Maximilian University of Munich specializing in research and education in mathematics, computer science, and statistical sciences.
  • E. Faculty of Statistics
    The Faculty of Statistics is a specialized academic division of TU Dortmund University focused on education and research in statistical theory, methods, 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 Applied Informatics and Statistics
Triple: [University of National and World Economy, hasFaculty, Faculty of Applied Informatics and Statistics]
Generated description
The Faculty of Applied Informatics and Statistics is an academic unit specializing in information technologies, data analysis, and statistical methods within the University of National and World Economy in Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Applied Informatics and Statistics
Target entity description: The Faculty of Applied Informatics and Statistics is an academic unit specializing in information technologies, data analysis, and statistical methods within the University of National and World Economy in Bulgaria.
  • A. Faculty of Informatics and Statistics
    The Faculty of Informatics and Statistics is a specialized faculty of the University of Economics in Prague focused on information technology, data analysis, and related quantitative disciplines.
  • B. Faculty of Applied Informatics
    The Faculty of Applied Informatics is a specialized faculty of Tomas Bata University in Zlín focused on education and research in information technology, computer science, and related applied technical fields.
  • C. Faculty of Information Engineering Informatics and Statistics
    The Faculty of Information Engineering, Informatics and Statistics is a specialized academic division of Sapienza University of Rome focused on education and research in information engineering, computer science, and statistical disciplines.
  • D. Faculty of Mathematics, Informatics and Statistics
    The Faculty of Mathematics, Informatics and Statistics is an academic division of Ludwig Maximilian University of Munich specializing in research and education in mathematics, computer science, and statistical sciences.
  • E. Faculty of Statistics
    The Faculty of Statistics is a specialized academic division of TU Dortmund University focused on education and research in statistical theory, methods, 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5f0dab8819092103aefcaa1f9c2 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbfc7a08190ab07f3d65aa79f16 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d0215888190b0e59c2584358a05 completed March 28, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_69c79d63b6dc8190b3b52ef6566ba490 completed March 28, 2026, 9:20 a.m.
Created at: March 27, 2026, 2:43 p.m.