Triple
T5651876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Institute of Public Health |
E124529
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Centre for Statistics and Data Science
The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.
|
E535414
|
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: Centre for Statistics and Data Science | Statement: [Norwegian Institute of Public Health, hasPart, Centre for Statistics and Data Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Statistics and Data Science Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Statistics and Data Science]
-
A.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
-
B.
School of Data Science
The School of Data Science at the University of Virginia is an academic unit dedicated to education and research in data science, analytics, and related computational fields.
-
C.
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.
-
D.
Centre for Artificial Intelligence and Data Science
The Centre for Artificial Intelligence and Data Science is a research hub at Nanyang Technological University focused on advancing AI and data science technologies and their real-world applications.
-
E.
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.
- 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: Centre for Statistics and Data Science Triple: [Norwegian Institute of Public Health, hasPart, Centre for Statistics and Data Science]
Generated description
The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for Statistics and Data Science Target entity description: The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.
-
A.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
-
B.
School of Data Science
The School of Data Science at the University of Virginia is an academic unit dedicated to education and research in data science, analytics, and related computational fields.
-
C.
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.
-
D.
Centre for Artificial Intelligence and Data Science
The Centre for Artificial Intelligence and Data Science is a research hub at Nanyang Technological University focused on advancing AI and data science technologies and their real-world applications.
-
E.
Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d6af9481909eaeead2a39525ce |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d941ea4819084bab644d6cc2153 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edcc0208190bd69b5cce89596f9 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04ff814b88190ad01844ae2629c6e |
completed | March 22, 2026, 8:24 p.m. |
Created at: March 22, 2026, 3:42 p.m.