Triple
T9841116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRASP Laboratory |
E239226
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object |
Department of Electrical and Systems Engineering, University of Pennsylvania
The Department of Electrical and Systems Engineering at the University of Pennsylvania is an academic department specializing in electrical engineering, systems science, and related interdisciplinary research and education.
|
E259219
|
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: Department of Electrical and Systems Engineering, University of Pennsylvania | Statement: [GRASP Laboratory, parentOrganization, Department of Electrical and Systems Engineering, University of Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Electrical and Systems Engineering, University of Pennsylvania Context triple: [GRASP Laboratory, parentOrganization, Department of Electrical and Systems Engineering, University of Pennsylvania]
-
A.
School of Engineering and Applied Science, University of Pennsylvania
The School of Engineering and Applied Science at the University of Pennsylvania is a leading Ivy League engineering school known for its research-intensive programs and interdisciplinary approach to engineering, computer science, and applied science education.
-
B.
Department of Electrical and Computer Engineering (Carnegie Mellon University)
The Department of Electrical and Computer Engineering at Carnegie Mellon University is a leading academic and research department specializing in cutting-edge areas such as electronics, computer systems, communications, and signal processing.
-
C.
Department of Electrical & Systems Engineering
The Department of Electrical & Systems Engineering is an academic department within Washington University in St. Louis’s McKelvey School of Engineering that focuses on education and research in electrical engineering, systems engineering, and related fields.
-
D.
Moore School of Electrical Engineering
The Moore School of Electrical Engineering is a historic department at the University of Pennsylvania renowned as a birthplace of early computer engineering, including pioneering work on the ENIAC and EDVAC.
-
E.
Department of Electrical and Computer Engineering
The Department of Electrical and Computer Engineering is an academic unit that focuses on education and research in areas such as electronics, computing systems, communications, and signal processing.
- 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: Department of Electrical and Systems Engineering, University of Pennsylvania Triple: [GRASP Laboratory, parentOrganization, Department of Electrical and Systems Engineering, University of Pennsylvania]
Generated description
The Department of Electrical and Systems Engineering at the University of Pennsylvania is an academic department specializing in electrical engineering, systems science, and related interdisciplinary research and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Electrical and Systems Engineering, University of Pennsylvania Target entity description: The Department of Electrical and Systems Engineering at the University of Pennsylvania is an academic department specializing in electrical engineering, systems science, and related interdisciplinary research and education.
-
A.
School of Engineering and Applied Science, University of Pennsylvania
The School of Engineering and Applied Science at the University of Pennsylvania is a leading Ivy League engineering school known for its research-intensive programs and interdisciplinary approach to engineering, computer science, and applied science education.
-
B.
Department of Electrical and Computer Engineering (Carnegie Mellon University)
The Department of Electrical and Computer Engineering at Carnegie Mellon University is a leading academic and research department specializing in cutting-edge areas such as electronics, computer systems, communications, and signal processing.
-
C.
Department of Electrical & Systems Engineering
chosen
The Department of Electrical & Systems Engineering is an academic department within Washington University in St. Louis’s McKelvey School of Engineering that focuses on education and research in electrical engineering, systems engineering, and related fields.
-
D.
Moore School of Electrical Engineering
The Moore School of Electrical Engineering is a historic department at the University of Pennsylvania renowned as a birthplace of early computer engineering, including pioneering work on the ENIAC and EDVAC.
-
E.
Department of Electrical and Computer Engineering
The Department of Electrical and Computer Engineering is an academic unit that focuses on education and research in areas such as electronics, computing systems, communications, and signal processing.
- F. None of above.
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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34c920c81909b56ed9936b15f9b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d5484c8190a78ccd0e9816ba51 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d9c17a308190818dd21e7e53af9d |
completed | April 5, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1da4ee3588190aa46d2eeffd0eabd |
completed | April 5, 2026, 3:43 a.m. |
Created at: March 30, 2026, 8:33 p.m.