Triple
T23143106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, Nelson Mandela University |
E577514
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
School of Computer Science, Mathematics, Physics and Statistics
The School of Computer Science, Mathematics, Physics and Statistics is an academic unit at Nelson Mandela University that offers teaching and research programs across computing, mathematical sciences, and physical sciences.
|
E1574179
|
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: School of Computer Science, Mathematics, Physics and Statistics | Statement: [Faculty of Science, Nelson Mandela University, hasDepartment, School of Computer Science, Mathematics, Physics and Statistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Computer Science, Mathematics, Physics and Statistics Context triple: [Faculty of Science, Nelson Mandela University, hasDepartment, School of Computer Science, Mathematics, Physics and Statistics]
-
A.
School of Computer Science and Mathematics
The School of Computer Science and Mathematics at Marist College is an academic division focused on education and research in computing, information technology, and mathematical sciences.
-
B.
School of Computer Science and Statistics
The School of Computer Science and Statistics is a leading academic unit of Trinity College Dublin specializing in computer science, data science, and statistical research and education.
-
C.
School of Computer Science and Applied Mathematics
The School of Computer Science and Applied Mathematics is an academic department at the University of the Witwatersrand specializing in teaching and research in computing, algorithms, and mathematically driven scientific disciplines.
-
D.
School of Mathematics and Computer Science
The School of Mathematics and Computer Science is an academic faculty at Osnabrück University that focuses on education and research in mathematics, computer science, and related disciplines.
-
E.
School of Mathematics and Computer Science
The School of Mathematics and Computer Science is an academic faculty of Inner Mongolia Normal University specializing in education and research in mathematical sciences and computer 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: School of Computer Science, Mathematics, Physics and Statistics Triple: [Faculty of Science, Nelson Mandela University, hasDepartment, School of Computer Science, Mathematics, Physics and Statistics]
Generated description
The School of Computer Science, Mathematics, Physics and Statistics is an academic unit at Nelson Mandela University that offers teaching and research programs across computing, mathematical sciences, and physical sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Computer Science, Mathematics, Physics and Statistics Target entity description: The School of Computer Science, Mathematics, Physics and Statistics is an academic unit at Nelson Mandela University that offers teaching and research programs across computing, mathematical sciences, and physical sciences.
-
A.
School of Computer Science and Mathematics
The School of Computer Science and Mathematics at Marist College is an academic division focused on education and research in computing, information technology, and mathematical sciences.
-
B.
School of Computer Science and Statistics
The School of Computer Science and Statistics is a leading academic unit of Trinity College Dublin specializing in computer science, data science, and statistical research and education.
-
C.
School of Computer Science and Applied Mathematics
The School of Computer Science and Applied Mathematics is an academic department at the University of the Witwatersrand specializing in teaching and research in computing, algorithms, and mathematically driven scientific disciplines.
-
D.
School of Mathematics and Computer Science
The School of Mathematics and Computer Science is an academic faculty at Osnabrück University that focuses on education and research in mathematics, computer science, and related disciplines.
-
E.
School of Mathematics and Computer Science
The School of Mathematics and Computer Science is an academic faculty of Inner Mongolia Normal University specializing in education and research in mathematical sciences and computer science.
- 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.