Triple
T593045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Information Sciences (University of Illinois Urbana-Champaign) |
E17317
|
entity |
| Predicate | offersDegree |
P49
|
FINISHED |
| Object |
Master of Science in Bioinformatics (information sciences concentration)
The Master of Science in Bioinformatics (information sciences concentration) is a graduate program that trains students to apply computational, data science, and information management methods to biological and biomedical data analysis.
|
E73962
|
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: Master of Science in Bioinformatics (information sciences concentration) | Statement: [School of Information Sciences (University of Illinois Urbana-Champaign), offersDegree, Master of Science in Bioinformatics (information sciences concentration)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master of Science in Bioinformatics (information sciences concentration) Context triple: [School of Information Sciences (University of Illinois Urbana-Champaign), offersDegree, Master of Science in Bioinformatics (information sciences concentration)]
-
A.
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.
-
B.
Master of Information Management and Systems
The Master of Information Management and Systems is a professional graduate degree focused on the design, management, and use of information technologies and data to solve complex organizational and societal problems.
-
C.
Master of Information and Cybersecurity
The Master of Information and Cybersecurity is a graduate-level professional degree focused on advanced training in cybersecurity strategy, technology, and policy for protecting information systems and digital infrastructure.
-
D.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
-
E.
Graduate School of Educational Informatics Research and Practice
The Graduate School of Educational Informatics Research and Practice is a specialized graduate school at Tohoku University in Japan focused on research and advanced training in the integration of information technology and education.
- 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: Master of Science in Bioinformatics (information sciences concentration) Triple: [School of Information Sciences (University of Illinois Urbana-Champaign), offersDegree, Master of Science in Bioinformatics (information sciences concentration)]
Generated description
The Master of Science in Bioinformatics (information sciences concentration) is a graduate program that trains students to apply computational, data science, and information management methods to biological and biomedical data analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Master of Science in Bioinformatics (information sciences concentration) Target entity description: The Master of Science in Bioinformatics (information sciences concentration) is a graduate program that trains students to apply computational, data science, and information management methods to biological and biomedical data analysis.
-
A.
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.
-
B.
Master of Information Management and Systems
The Master of Information Management and Systems is a professional graduate degree focused on the design, management, and use of information technologies and data to solve complex organizational and societal problems.
-
C.
Master of Information and Cybersecurity
The Master of Information and Cybersecurity is a graduate-level professional degree focused on advanced training in cybersecurity strategy, technology, and policy for protecting information systems and digital infrastructure.
-
D.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
-
E.
Graduate School of Educational Informatics Research and Practice
The Graduate School of Educational Informatics Research and Practice is a specialized graduate school at Tohoku University in Japan focused on research and advanced training in the integration of information technology and education.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbcaf5c81908de4e27096d3da13 |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a515565720819086c59527d6f782f5 |
completed | March 2, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_69a515d673e08190bf66072a20c5b912 |
completed | March 2, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5168e76448190aec260b3b9b4bdc6 |
completed | March 2, 2026, 4:48 a.m. |
Created at: March 1, 2026, 7:33 p.m.