Triple
T1547512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge |
E33011
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of French, University of Cambridge
The Department of French at the University of Cambridge is a leading academic unit specializing in French language, literature, culture, and thought within the university’s modern languages faculty.
|
E33011
|
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 French, University of Cambridge | Statement: [Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge, hasDepartment, Department of French, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of French, University of Cambridge Context triple: [Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge, hasDepartment, Department of French, University of Cambridge]
-
A.
Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge
The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.
-
B.
Faculty of History, University of Cambridge
The Faculty of History at the University of Cambridge is a leading academic department renowned for its wide-ranging historical research and teaching, spanning periods from ancient to contemporary history.
-
C.
French Ministry of Higher Education and Research
The French Ministry of Higher Education and Research is the national government department responsible for defining and implementing France’s policies on universities, research institutions, and advanced scientific and technological education.
-
D.
Sorbonne University
Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
-
E.
Faculty of Asian and Middle Eastern Studies, University of Cambridge
The Faculty of Asian and Middle Eastern Studies at the University of Cambridge is an academic department specializing in the languages, histories, cultures, and religions of Asia and the Middle East.
- 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 French, University of Cambridge Triple: [Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge, hasDepartment, Department of French, University of Cambridge]
Generated description
The Department of French at the University of Cambridge is a leading academic unit specializing in French language, literature, culture, and thought within the university’s modern languages faculty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of French, University of Cambridge Target entity description: The Department of French at the University of Cambridge is a leading academic unit specializing in French language, literature, culture, and thought within the university’s modern languages faculty.
-
A.
Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge
chosen
The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.
-
B.
Faculty of History, University of Cambridge
The Faculty of History at the University of Cambridge is a leading academic department renowned for its wide-ranging historical research and teaching, spanning periods from ancient to contemporary history.
-
C.
French Ministry of Higher Education and Research
The French Ministry of Higher Education and Research is the national government department responsible for defining and implementing France’s policies on universities, research institutions, and advanced scientific and technological education.
-
D.
Sorbonne University
Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
-
E.
Faculty of Asian and Middle Eastern Studies, University of Cambridge
The Faculty of Asian and Middle Eastern Studies at the University of Cambridge is an academic department specializing in the languages, histories, cultures, and religions of Asia and the Middle East.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb20dd5a88190b3d6e6f0004fe9b4 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad30a073bc8190a269cb036775dfe4 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad3117b49881908916e7137f8b655c |
completed | March 8, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad3179b0148190b69b16b5d2051ece |
completed | March 8, 2026, 8:21 a.m. |
Created at: March 4, 2026, 7:26 p.m.