Triple
T10754946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luddy School of Informatics, Computing, and Engineering |
E253665
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Intelligent Systems Engineering department
The Intelligent Systems Engineering department is an academic unit focused on designing and developing advanced computing and engineered systems that integrate intelligence, data, and automation.
|
E884450
|
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: Intelligent Systems Engineering department | Statement: [Luddy School of Informatics, Computing, and Engineering, hasDivision, Intelligent Systems Engineering department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intelligent Systems Engineering department Context triple: [Luddy School of Informatics, Computing, and Engineering, hasDivision, Intelligent Systems Engineering department]
-
A.
Intelligent Systems Division
The Intelligent Systems Division is a research and development unit within Southwest Research Institute that focuses on advanced automation, artificial intelligence, and related intelligent technologies for industrial and governmental applications.
-
B.
Department of Computer Systems Engineering
The Department of Computer Systems Engineering is an academic unit at the University of Engineering and Technology Peshawar that focuses on education and research in computer hardware, embedded systems, and related computing technologies.
-
C.
Institute for Intelligent Systems
The Institute for Intelligent Systems is a research center at the University of Johannesburg focused on advancing artificial intelligence, machine learning, and related intelligent technologies.
-
D.
Institute of Smart Systems and Artificial Intelligence
The Institute of Smart Systems and Artificial Intelligence is a research center at Nazarbayev University focused on advancing artificial intelligence and intelligent systems technologies through interdisciplinary research and innovation.
-
E.
Computer Engineering Department
The Computer Engineering Department at Boğaziçi University is a leading academic unit in Turkey known for its strong theoretical foundations, competitive admissions, and high-impact research in computer science and engineering.
- 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: Intelligent Systems Engineering department Triple: [Luddy School of Informatics, Computing, and Engineering, hasDivision, Intelligent Systems Engineering department]
Generated description
The Intelligent Systems Engineering department is an academic unit focused on designing and developing advanced computing and engineered systems that integrate intelligence, data, and automation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Intelligent Systems Engineering department Target entity description: The Intelligent Systems Engineering department is an academic unit focused on designing and developing advanced computing and engineered systems that integrate intelligence, data, and automation.
-
A.
Intelligent Systems Division
The Intelligent Systems Division is a research and development unit within Southwest Research Institute that focuses on advanced automation, artificial intelligence, and related intelligent technologies for industrial and governmental applications.
-
B.
Department of Computer Systems Engineering
The Department of Computer Systems Engineering is an academic unit at the University of Engineering and Technology Peshawar that focuses on education and research in computer hardware, embedded systems, and related computing technologies.
-
C.
Institute for Intelligent Systems
The Institute for Intelligent Systems is a research center at the University of Johannesburg focused on advancing artificial intelligence, machine learning, and related intelligent technologies.
-
D.
Institute of Smart Systems and Artificial Intelligence
The Institute of Smart Systems and Artificial Intelligence is a research center at Nazarbayev University focused on advancing artificial intelligence and intelligent systems technologies through interdisciplinary research and innovation.
-
E.
Computer Engineering Department
The Computer Engineering Department at Boğaziçi University is a leading academic unit in Turkey known for its strong theoretical foundations, competitive admissions, and high-impact research in computer science and engineering.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9d0f688190a9be024929d2f960 |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2338b2cc8190ad40ff9a421a4152 |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271ee56c81908d2f690f31c2d2db |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2dff4a048190823c8b5f1f7ea548 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:15 p.m.