Triple

T20249271
Position Surface form Disambiguated ID Type / Status
Subject Urgench State University E498506 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Information Technologies
The Faculty of Information Technologies is an academic division specializing in computer science and related IT disciplines at Urgench State University.
E1421180 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 Information Technologies | Statement: [Urgench State University, hasFaculty, Faculty of Information Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Information Technologies
Context triple: [Urgench State University, hasFaculty, Faculty of Information Technologies]
  • A. Faculty of Information Technologies
    The Faculty of Information Technologies is an academic division of Dnipro University of Technology specializing in education and research in computer science and related IT disciplines.
  • B. Faculty of Information Technologies
    The Faculty of Information Technologies is a computer science and IT-focused academic division of Novosibirsk State University in Russia, offering education and research in areas such as software engineering, data science, and information systems.
  • C. Faculty of Information Technology
    The Faculty of Information Technology at the University of Jordan is an academic unit specializing in education and research in computing, software, and information systems.
  • D. Faculty of Information Technology
    The Faculty of Information Technology is an academic division specializing in computing and information sciences, offering education and research programs in areas such as software development, data science, and information systems.
  • E. Faculty of Information Technology
    The Faculty of Information Technology is an academic division of Vietnam's National Economics University specializing in education and research in information technology and its applications in economics and business.
  • 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 Information Technologies
Triple: [Urgench State University, hasFaculty, Faculty of Information Technologies]
Generated description
The Faculty of Information Technologies is an academic division specializing in computer science and related IT disciplines at Urgench State University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Information Technologies
Target entity description: The Faculty of Information Technologies is an academic division specializing in computer science and related IT disciplines at Urgench State University.
  • A. Faculty of Information Technologies
    The Faculty of Information Technologies is an academic division of Dnipro University of Technology specializing in education and research in computer science and related IT disciplines.
  • B. Faculty of Information Technologies
    The Faculty of Information Technologies is a computer science and IT-focused academic division of Novosibirsk State University in Russia, offering education and research in areas such as software engineering, data science, and information systems.
  • C. Faculty of Information Technology
    The Faculty of Information Technology is an academic division of the Libyan International Medical University specializing in education and research in computing and information systems.
  • D. Faculty of Information Technology
    The Faculty of Information Technology at the University of Jordan is an academic unit specializing in education and research in computing, software, and information systems.
  • E. Faculty of Information Technology
    The Faculty of Information Technology is a specialized computer science and IT faculty of the Czech Technical University in Prague, focusing on education and research in informatics, software engineering, and related technologies.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a699b48190a2073a3bd8851125 completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08552409988190978640c4190dccd3 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0856ac50e081909c8bc737e4fe6e56 completed May 16, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_6a085746f2f08190a703a832f5867c7b completed May 16, 2026, 11:38 a.m.
Created at: April 11, 2026, 11:41 p.m.