Triple
T11039578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, National University of Singapore |
E260972
|
entity |
| Predicate | hasProgramme |
P6928
|
FINISHED |
| Object |
Data Science and Analytics programme
The Data Science and Analytics programme is an undergraduate degree at the National University of Singapore that trains students in statistical analysis, machine learning, and computational methods for extracting insights from data.
|
E900824
|
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: Data Science and Analytics programme | Statement: [Faculty of Science, National University of Singapore, hasProgramme, Data Science and Analytics programme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Data Science and Analytics programme Context triple: [Faculty of Science, National University of Singapore, hasProgramme, Data Science and Analytics programme]
-
A.
Certificate in Data Science
The Certificate in Data Science is a graduate-level credential program focused on foundational data analysis, statistical methods, and computational techniques for extracting insights from data.
-
B.
Master of Business Analytics
The Master of Business Analytics is a specialized graduate degree focused on applying advanced data science, statistical modeling, and quantitative methods to solve complex business problems and support data-driven decision-making.
-
C.
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.
-
D.
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.
-
E.
Master of Information and Data Science
The Master of Information and Data Science is a professional graduate degree program focused on advanced data science methods, analytics, and their real-world applications in industry and research.
- 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: Data Science and Analytics programme Triple: [Faculty of Science, National University of Singapore, hasProgramme, Data Science and Analytics programme]
Generated description
The Data Science and Analytics programme is an undergraduate degree at the National University of Singapore that trains students in statistical analysis, machine learning, and computational methods for extracting insights from data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Data Science and Analytics programme Target entity description: The Data Science and Analytics programme is an undergraduate degree at the National University of Singapore that trains students in statistical analysis, machine learning, and computational methods for extracting insights from data.
-
A.
Certificate in Data Science
The Certificate in Data Science is a graduate-level credential program focused on foundational data analysis, statistical methods, and computational techniques for extracting insights from data.
-
B.
Master of Business Analytics
The Master of Business Analytics is a specialized graduate degree focused on applying advanced data science, statistical modeling, and quantitative methods to solve complex business problems and support data-driven decision-making.
-
C.
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.
-
D.
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.
-
E.
Master of Information and Data Science
The Master of Information and Data Science is a professional graduate degree program focused on advanced data science methods, analytics, and their real-world applications in industry and research.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797ff519481909ebc2515b3d241de |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9d61b548190949f0dfbcb782064 |
completed | April 18, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69e3ad024ee88190948d5d1c327fd063 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1fff754819092d634f46fb42387 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.