Triple

T14168239
Position Surface form Disambiguated ID Type / Status
Subject Suez Canal University (Ismailia campus) E351134 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Computers and Information
The Faculty of Computers and Information is an academic unit of Suez Canal University’s Ismailia campus specializing in computer science, information systems, and related information technology disciplines.
E1082868 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 Computers and Information | Statement: [Suez Canal University (Ismailia campus), hasFaculty, Faculty of Computers and Information]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Computers and Information
Context triple: [Suez Canal University (Ismailia campus), hasFaculty, Faculty of Computers and Information]
  • A. Faculty of Computers and Information
    The Faculty of Computers and Information is an academic division of Sohag University specializing in computer science, information technology, and related disciplines.
  • B. Faculty of Computers and Information
    The Faculty of Computers and Information is an academic unit of South Valley University specializing in computer science, information systems, and related information technology disciplines.
  • C. Faculty of Computers and Information
    The Faculty of Computers and Information is an academic unit of Assiut University specializing in computer science, information technology, and related disciplines.
  • D. Faculty of Computers and Information
    The Faculty of Computers and Information is a specialized academic unit of Mansoura University in Egypt focused on education and research in computer science, information systems, and related technologies.
  • E. Faculty of Computing and Informatics
    The Faculty of Computing and Informatics is an academic division of the Namibia University of Science and Technology specializing in computer science, information technology, and related digital disciplines.
  • 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 Computers and Information
Triple: [Suez Canal University (Ismailia campus), hasFaculty, Faculty of Computers and Information]
Generated description
The Faculty of Computers and Information is an academic unit of Suez Canal University’s Ismailia campus specializing in computer science, information systems, and related information technology disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Computers and Information
Target entity description: The Faculty of Computers and Information is an academic unit of Suez Canal University’s Ismailia campus specializing in computer science, information systems, and related information technology disciplines.
  • A. Faculty of Computers and Information
    The Faculty of Computers and Information is an academic unit of South Valley University specializing in computer science, information systems, and related information technology disciplines.
  • B. Faculty of Computers and Information
    The Faculty of Computers and Information is an academic unit of Assiut University specializing in computer science, information technology, and related disciplines.
  • C. Faculty of Computers and Information
    The Faculty of Computers and Information is an academic division of Sohag University specializing in computer science, information technology, and related disciplines.
  • D. Faculty of Computers and Information
    The Faculty of Computers and Information is a specialized academic unit of Mansoura University in Egypt focused on education and research in computer science, information systems, and related technologies.
  • E. Faculty of Computing and Informatics
    The Faculty of Computing and Informatics is an academic division of the Namibia University of Science and Technology specializing in computer science, information technology, and related digital 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcf8bb58ac81908e66156a805edda8 completed May 7, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fcf93b528c81908c0ee11908d25574 completed May 7, 2026, 8:42 p.m.
Created at: April 10, 2026, 1 a.m.