Triple
T7073704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Social Science, University of Swaziland |
E164761
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Political and Administrative Studies
The Department of Political and Administrative Studies is an academic unit at the University of Swaziland that focuses on teaching and research in political science, public administration, and related social science fields.
|
E639766
|
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 Political and Administrative Studies | Statement: [Faculty of Social Science, University of Swaziland, hasDepartment, Department of Political and Administrative Studies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Political and Administrative Studies Context triple: [Faculty of Social Science, University of Swaziland, hasDepartment, Department of Political and Administrative Studies]
-
A.
Department of Political and Social Sciences
The Department of Political and Social Sciences is an academic unit at the University of Trieste dedicated to teaching and research in political science, sociology, and related social science disciplines.
-
B.
Department of Political and Social Sciences
The Department of Political and Social Sciences is an academic division of the Free University of Berlin specializing in research and teaching on politics, sociology, and related social science disciplines.
-
C.
Department of Political Science
The Department of Political Science at Kyoto University is an academic unit specializing in the study and research of political systems, theory, and public policy within the university’s Faculty of Law.
-
D.
Department of Political Science
The Department of Political Science at Savitribai Phule Pune University is an academic unit dedicated to teaching and research in political theory, comparative politics, public administration, and related fields.
-
E.
Department of Political Science
The Department of Political Science at the University of Oslo is a leading academic unit for research and education in political science within Norway’s Faculty of 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 Political and Administrative Studies Triple: [Faculty of Social Science, University of Swaziland, hasDepartment, Department of Political and Administrative Studies]
Generated description
The Department of Political and Administrative Studies is an academic unit at the University of Swaziland that focuses on teaching and research in political science, public administration, and related social science fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Political and Administrative Studies Target entity description: The Department of Political and Administrative Studies is an academic unit at the University of Swaziland that focuses on teaching and research in political science, public administration, and related social science fields.
-
A.
Department of Political and Social Sciences
The Department of Political and Social Sciences is an academic unit at the University of Trieste dedicated to teaching and research in political science, sociology, and related social science disciplines.
-
B.
Department of Political and Social Sciences
The Department of Political and Social Sciences is an academic division of the Free University of Berlin specializing in research and teaching on politics, sociology, and related social science disciplines.
-
C.
Department of Political Science
The Department of Political Science at Savitribai Phule Pune University is an academic unit dedicated to teaching and research in political theory, comparative politics, public administration, and related fields.
-
D.
Department of Political Science
The Department of Political Science is an academic unit of Scottish Church College that offers teaching and research in political theory, government, and related social science fields.
-
E.
Department of Political Science
The Department of Political Science is an academic unit specializing in the study and research of political systems, governance, and public policy within the Interregional Academy of Personnel Management.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ccb42c81909f5627aa97db7a84 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794641dd481908df979600b7a8e92 |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7950271a48190b6e0c3f307ebdc5a |
completed | March 28, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7957439b8819081fb2721bbd8b65c |
completed | March 28, 2026, 8:46 a.m. |
Created at: March 27, 2026, 2:39 p.m.