Triple

T23143102
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science, Nelson Mandela University E577514 entity
Predicate hasDepartment P35 FINISHED
Object Department of Mathematical Statistics
The Department of Mathematical Statistics is an academic unit at Nelson Mandela University's Faculty of Science that focuses on teaching and research in statistics, probability, and related quantitative methods.
E1574176 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 Mathematical Statistics | Statement: [Faculty of Science, Nelson Mandela University, hasDepartment, Department of Mathematical Statistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Mathematical Statistics
Context triple: [Faculty of Science, Nelson Mandela University, hasDepartment, Department of Mathematical Statistics]
  • A. Department of Mathematics and Statistics
    The Department of Mathematics and Statistics is an academic unit that focuses on teaching and research in mathematical theory, applied mathematics, and statistical methods.
  • B. Department of Statistical Science
    The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
  • C. Department of Statistics
    The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
  • D. Department of Statistics
    The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within Gazi University's Faculty of Science.
  • E. Department of Statistics
    The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
  • 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 Mathematical Statistics
Triple: [Faculty of Science, Nelson Mandela University, hasDepartment, Department of Mathematical Statistics]
Generated description
The Department of Mathematical Statistics is an academic unit at Nelson Mandela University's Faculty of Science that focuses on teaching and research in statistics, probability, and related quantitative methods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Mathematical Statistics
Target entity description: The Department of Mathematical Statistics is an academic unit at Nelson Mandela University's Faculty of Science that focuses on teaching and research in statistics, probability, and related quantitative methods.
  • A. Department of Mathematics and Statistics
    The Department of Mathematics and Statistics is an academic unit that focuses on teaching and research in mathematical theory, applied mathematics, and statistical methods.
  • B. Department of Statistical Science
    The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
  • C. Department of Statistics
    The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
  • D. Department of Statistics
    The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within Gazi University's Faculty of Science.
  • E. Department of Statistics
    The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecb72fc8190a24e8f5756217a36 completed April 29, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308fd60c8190afd340bd74423220 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c32dc646081909d3c36d089d61c00 completed May 19, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c35636e908190ae11d96deb15e1f5 completed May 19, 2026, 10:03 a.m.
Created at: April 17, 2026, 4 p.m.