Triple

T8948768
Position Surface form Disambiguated ID Type / Status
Subject College of Natural Sciences E213289 entity
Predicate hasDepartment P35 FINISHED
Object Department of Computer Science
The Department of Computer Science is an academic unit that focuses on teaching and research in computing, algorithms, software, and information technology within the College of Natural Sciences.
E768282 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: [College of Natural Sciences, 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: [College of Natural Sciences, hasDepartment, Department of Computer Science]
  • A. 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.
  • B. Department of Computer Science
    The Department of Computer Science at Sharif University of Technology is a leading Iranian academic unit specializing in computer science education and research.
  • C. 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.
  • D. 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.
  • E. Department of Computer Science
    The Department of Computer Science at the University of Bristol is an academic unit specializing in teaching and research across areas such as algorithms, artificial intelligence, software engineering, and data science.
  • 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: [College of Natural Sciences, hasDepartment, Department of Computer Science]
Generated description
The Department of Computer Science is an academic unit that focuses on teaching and research in computing, algorithms, software, and information technology within the College of Natural Sciences.
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 that focuses on teaching and research in computing, algorithms, software, and information technology within the College of Natural Sciences.
  • A. 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.
  • B. 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.
  • C. Department of Computer Science
    The Department of Computer Science is an academic unit within the Maseeh College of Engineering and Computer Science that focuses on education and research in computing and information technologies.
  • 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 is an academic unit within the Donald Bren School of Information and Computer Sciences that focuses on education and research in computing and software-related 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6709c7a48190ab503083a1d6a29f completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc206550c8190abf016f25b14fa64 completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc3f170a08190a2cab07eb280ee3b completed April 3, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfc476204481909f0baaf400483f33 completed April 3, 2026, 1:45 p.m.
Created at: March 30, 2026, 6:59 p.m.