Triple

T7680620
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science, University of Swaziland E173982 entity
Predicate hasDepartment P35 FINISHED
Object Department of Computer Science
The Department of Computer Science is an academic unit within the University of Swaziland’s Faculty of Science that focuses on teaching and research in computing and information technology.
E683230 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: Department of Computer Science | Statement: [Faculty of Science, University of Swaziland, hasDepartment, Department of Computer Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Computer Science
Context triple: [Faculty of Science, University of Swaziland, hasDepartment, Department of Computer Science]
  • A. Department of Computer Science
    The Department of Computer Science at Scottish Church College is an academic unit offering undergraduate education and research opportunities in computing and information technology within the college.
  • B. Department of Computer Science
    The Department of Computer Science is an academic unit specializing in teaching and research in computing, algorithms, and information technology within a university’s engineering and applied science school.
  • C. Department of Computer Science
    The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
  • D. Department of Computer Science
    The Department of Computer Science is an academic unit within the Grainger College of Engineering that focuses on education and research in computing and information technologies.
  • E. Department of Computer Science
    The Department of Computer Science at the University of York is a leading UK academic department known for its research and teaching in areas such as artificial intelligence, cybersecurity, and software engineering.
  • 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: Department of Computer Science
Triple: [Faculty of Science, University of Swaziland, hasDepartment, Department of Computer Science]
Generated description
The Department of Computer Science is an academic unit within the University of Swaziland’s Faculty of Science that focuses on teaching and research in computing and information technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Computer Science
Target entity description: The Department of Computer Science is an academic unit within the University of Swaziland’s Faculty of Science that focuses on teaching and research in computing and information technology.
  • A. Department of Computer Science
    The Department of Computer Science is an academic unit focused on teaching and research in computing, algorithms, and information technologies within the Faculty of Mathematics, Informatics and Statistics.
  • B. Department of Computer Science
    The Department of Computer Science is an academic unit specializing in teaching and research in computing, algorithms, and information technology within a university’s engineering and applied science school.
  • C. Department of Computer Science
    The Department of Computer Science at Sri Venkateswara University is an academic unit focused on education and research in computing and information technologies.
  • D. Department of Computer Science
    The Department of Computer Science is an academic unit specializing in computer science education and research within the Faculty of Mathematics at the University of Belgrade.
  • E. Department of Computer Science
    The Department of Computer Science at Royal Holloway, University of London is an academic unit specializing in teaching and research across core and advanced areas of computing and information technology.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701ffc1fc8190bc9c2b1f3bb37f0d completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9e0cd081909b404f6a7e978f6b completed March 29, 2026, 4:37 a.m.
NEDg Description generation batch_69c8ae258a7081909bd30259a368d865 completed March 29, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_69c8aebc46e481908872d0c4c77345b5 completed March 29, 2026, 4:46 a.m.
Created at: March 27, 2026, 4:01 p.m.