Triple

T6835234
Position Surface form Disambiguated ID Type / Status
Subject Misr University for Science and Technology E157431 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Information Technology
The Faculty of Information Technology is an academic division of Misr University for Science and Technology specializing in education and research in computing, software, and information systems.
E621183 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 Technology | Statement: [Misr University for Science and Technology, hasFaculty, Faculty of Information Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Information Technology
Context triple: [Misr University for Science and Technology, hasFaculty, Faculty of Information Technology]
  • A. 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.
  • B. Faculty of Information Technology
    The Faculty of Information Technology is Monash University's dedicated academic division for teaching and research in computing, software, data science, and related information technologies.
  • C. Faculty of Information Technology
    The Faculty of Information Technology is an academic division of Taras Shevchenko National University of Kyiv specializing in computer science, software engineering, and related IT disciplines.
  • 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 an academic division of the Libyan International Medical University specializing in education and research in computing and information systems.
  • 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 Technology
Triple: [Misr University for Science and Technology, hasFaculty, Faculty of Information Technology]
Generated description
The Faculty of Information Technology is an academic division of Misr University for Science and Technology specializing in education and research in computing, software, and information systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Information Technology
Target entity description: The Faculty of Information Technology is an academic division of Misr University for Science and Technology specializing in education and research in computing, software, and information systems.
  • A. 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.
  • B. 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.
  • C. Faculty of Information Technology
    The Faculty of Information Technology is Monash University's dedicated academic division for teaching and research in computing, software, data science, and related information technologies.
  • D. 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.
  • E. Faculty of Information Technology
    The Faculty of Information Technology is an academic division of Taras Shevchenko National University of Kyiv specializing in computer science, software engineering, and related IT disciplines.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67a9ff88190b0d86331b3ea06aa completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723fd50c88190af005fd58ca0aee6 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c7247806808190ac60c134cec612c8 completed March 28, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c7253b94f081909e7cee870a12af6b completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:19 p.m.