Triple
T23301069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Social Sciences, University of Oslo |
E590302
|
entity |
| Predicate | hasSubUnit |
P35
|
FINISHED |
| Object |
Department of Media and Communication, University of Oslo
The Department of Media and Communication at the University of Oslo is an academic unit specializing in research and education on media, journalism, communication, and digital culture.
|
E1580252
|
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 Media and Communication, University of Oslo | Statement: [Faculty of Social Sciences, University of Oslo, hasSubUnit, Department of Media and Communication, University of Oslo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Media and Communication, University of Oslo Context triple: [Faculty of Social Sciences, University of Oslo, hasSubUnit, Department of Media and Communication, University of Oslo]
-
A.
Department of Information Science and Media Studies, University of Bergen
The Department of Information Science and Media Studies at the University of Bergen is an academic unit that conducts research and offers education in areas such as information science, media studies, and digital communication.
-
B.
Faculty of Media and Knowledge Sciences
The Faculty of Media and Knowledge Sciences is an academic division of the University of Malta specializing in media studies, communication, and information-related disciplines.
-
C.
Department of Media Studies, Stockholm University
The Department of Media Studies at Stockholm University is an academic unit specializing in research and education on media, communication, and journalism within contemporary society.
-
D.
Institute of Communication Studies
The Institute of Communication Studies is an academic department at the University of the Punjab specializing in media, journalism, and communication education and research.
-
E.
Department of Journalism, Media and Communication, University of Gothenburg
The Department of Journalism, Media and Communication at the University of Gothenburg is an academic unit specializing in education and research on journalism, media, and communication within the social sciences.
- 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 Media and Communication, University of Oslo Triple: [Faculty of Social Sciences, University of Oslo, hasSubUnit, Department of Media and Communication, University of Oslo]
Generated description
The Department of Media and Communication at the University of Oslo is an academic unit specializing in research and education on media, journalism, communication, and digital culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Media and Communication, University of Oslo Target entity description: The Department of Media and Communication at the University of Oslo is an academic unit specializing in research and education on media, journalism, communication, and digital culture.
-
A.
Department of Information Science and Media Studies, University of Bergen
The Department of Information Science and Media Studies at the University of Bergen is an academic unit that conducts research and offers education in areas such as information science, media studies, and digital communication.
-
B.
Faculty of Media and Knowledge Sciences
The Faculty of Media and Knowledge Sciences is an academic division of the University of Malta specializing in media studies, communication, and information-related disciplines.
-
C.
Department of Media Studies, Stockholm University
The Department of Media Studies at Stockholm University is an academic unit specializing in research and education on media, communication, and journalism within contemporary society.
-
D.
Institute of Communication Studies
The Institute of Communication Studies is an academic department at the University of the Punjab specializing in media, journalism, and communication education and research.
-
E.
Department of Journalism, Media and Communication, University of Gothenburg
The Department of Journalism, Media and Communication at the University of Gothenburg is an academic unit specializing in education and research on journalism, media, and communication within the social sciences.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d37fd08190ad2d199c54324c02 |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c9730908190960a47f7fee9e0c2 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4ee292f08190a44326d433f37c65 |
completed | May 19, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4f796b688190a8971ebd238e08f2 |
completed | May 19, 2026, 11:54 a.m. |
Created at: April 17, 2026, 5:04 p.m.