Triple
T9285144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Computer Science at Carnegie Mellon University |
E223374
|
entity |
| Predicate | hasSubOrganization |
P747
|
FINISHED |
| Object |
Software and Societal Systems Department
The Software and Societal Systems Department is a Carnegie Mellon University academic unit focused on the design, analysis, and governance of software systems in their broader social, organizational, and policy contexts.
|
E789359
|
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: Software and Societal Systems Department | Statement: [School of Computer Science at Carnegie Mellon University, hasSubOrganization, Software and Societal Systems Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Software and Societal Systems Department Context triple: [School of Computer Science at Carnegie Mellon University, hasSubOrganization, Software and Societal Systems 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.
Information Technology Laboratory
The Information Technology Laboratory is a research unit within the U.S. Army Engineer Research and Development Center that focuses on advanced computing, software, and information technology solutions to support military engineering and operations.
-
C.
Department of Systems Innovation
The Department of Systems Innovation is an academic department at the University of Tokyo focused on interdisciplinary research and education in complex systems, engineering, and innovation.
-
D.
School of Systems and Enterprises
The School of Systems and Enterprises is an academic division of Stevens Institute of Technology focused on systems engineering, enterprise systems, and related interdisciplinary fields.
-
E.
Department of Software Engineering
The Department of Software Engineering is an academic unit at the University of Belgrade’s Faculty of Organizational Sciences focused on education and research in software development, engineering methodologies, and related information technologies.
- 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: Software and Societal Systems Department Triple: [School of Computer Science at Carnegie Mellon University, hasSubOrganization, Software and Societal Systems Department]
Generated description
The Software and Societal Systems Department is a Carnegie Mellon University academic unit focused on the design, analysis, and governance of software systems in their broader social, organizational, and policy contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Software and Societal Systems Department Target entity description: The Software and Societal Systems Department is a Carnegie Mellon University academic unit focused on the design, analysis, and governance of software systems in their broader social, organizational, and policy contexts.
-
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.
Information Technology Laboratory
The Information Technology Laboratory is a research unit within the U.S. Army Engineer Research and Development Center that focuses on advanced computing, software, and information technology solutions to support military engineering and operations.
-
C.
Department of Systems Innovation
The Department of Systems Innovation is an academic department at the University of Tokyo focused on interdisciplinary research and education in complex systems, engineering, and innovation.
-
D.
School of Systems and Enterprises
The School of Systems and Enterprises is an academic division of Stevens Institute of Technology focused on systems engineering, enterprise systems, and related interdisciplinary fields.
-
E.
Department of Software Engineering
The Department of Software Engineering is an academic unit at the University of Belgrade’s Faculty of Organizational Sciences focused on education and research in software development, engineering methodologies, and related information technologies.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081fe8cc8190b6c1b481c7129689 |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b21d8f1081909b2493151fde4a5f |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b3234d088190a8ed13b4d4772fb5 |
completed | April 4, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b3bcd5548190ba1af3d0fa72780a |
completed | April 4, 2026, 6:46 a.m. |
Created at: March 30, 2026, 7:35 p.m.