Triple

T14061563
Position Surface form Disambiguated ID Type / Status
Subject University of Tabriz E338357 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is an academic division of the University of Tabriz specializing in education and research in electrical, electronics, and computer engineering disciplines.
E1077979 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 Electrical and Computer Engineering | Statement: [University of Tabriz, hasFaculty, Faculty of Electrical and Computer Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Electrical and Computer Engineering
Context triple: [University of Tabriz, hasFaculty, Faculty of Electrical and Computer Engineering]
  • A. Faculty of Electrical and Computer Engineering
    The Faculty of Electrical and Computer Engineering is a leading academic unit at the Technion – Israel Institute of Technology, specializing in education and research in electrical engineering, computer engineering, and related technologies.
  • B. Faculty of Electrical and Computer Engineering
    The Faculty of Electrical and Computer Engineering is an academic division of Chittagong University of Engineering and Technology specializing in education and research in electrical, electronic, and computer engineering disciplines.
  • C. Faculty of Electrical and Computer Engineering
    The Faculty of Electrical and Computer Engineering is a major academic division of the Dresden University of Technology specializing in education and research in electrical engineering, electronics, and computer engineering.
  • D. Faculty of Electrical Engineering and Computer Science
    The Faculty of Electrical Engineering and Computer Science is an academic division of Lublin University of Technology specializing in education and research in electrical engineering, electronics, and computer science.
  • E. Faculty of Electrical Engineering and Computer Science
    The Faculty of Electrical Engineering and Computer Science is a major academic division of Leibniz University Hannover specializing in education and research in electrical engineering, computer science, and related technologies.
  • 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 Electrical and Computer Engineering
Triple: [University of Tabriz, hasFaculty, Faculty of Electrical and Computer Engineering]
Generated description
The Faculty of Electrical and Computer Engineering is an academic division of the University of Tabriz specializing in education and research in electrical, electronics, and computer engineering disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Electrical and Computer Engineering
Target entity description: The Faculty of Electrical and Computer Engineering is an academic division of the University of Tabriz specializing in education and research in electrical, electronics, and computer engineering disciplines.
  • A. Faculty of Electrical and Computer Engineering
    The Faculty of Electrical and Computer Engineering is a leading academic unit at the Technion – Israel Institute of Technology, specializing in education and research in electrical engineering, computer engineering, and related technologies.
  • B. Faculty of Electrical and Computer Engineering
    The Faculty of Electrical and Computer Engineering is a major academic division of the Dresden University of Technology specializing in education and research in electrical engineering, electronics, and computer engineering.
  • C. Faculty of Electrical and Computer Engineering
    The Faculty of Electrical and Computer Engineering is an academic division of Chittagong University of Engineering and Technology specializing in education and research in electrical, electronic, and computer engineering disciplines.
  • D. Faculty of Electrical Engineering and Computer Science
    The Faculty of Electrical Engineering and Computer Science is an academic division of Lublin University of Technology specializing in education and research in electrical engineering, electronics, and computer science.
  • E. Faculty of Electrical Engineering and Computer Science
    The Faculty of Electrical Engineering and Computer Science is a major academic division of Leibniz University Hannover specializing in education and research in electrical engineering, computer science, 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568876308190840361dcaf10bd45 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6654850819083262f3fb981eb1a completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc4fa09448190b662af829712e657 completed May 7, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69fcc5d162c081908750fed589ed2d69 completed May 7, 2026, 5:03 p.m.
Created at: April 9, 2026, 10:21 p.m.