Triple
T10155788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Humanities and Social Sciences, Queen Mary University of London |
E232772
|
entity |
| Predicate | hasSubUnit |
P35
|
FINISHED |
| Object |
School of Languages, Linguistics and Film, Queen Mary University of London
The School of Languages, Linguistics and Film at Queen Mary University of London is an academic department specializing in the study and research of modern languages, linguistics, comparative literature, and film.
|
E843969
|
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: School of Languages, Linguistics and Film, Queen Mary University of London | Statement: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Languages, Linguistics and Film, Queen Mary University of London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Languages, Linguistics and Film, Queen Mary University of London Context triple: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Languages, Linguistics and Film, Queen Mary University of London]
-
A.
School of Linguistics and Literary Studies
The School of Linguistics and Literary Studies is an academic faculty at Osnabrück University specializing in language, linguistics, and literary scholarship.
-
B.
UCL School of European Languages, Culture and Society
The UCL School of European Languages, Culture and Society is an academic department at University College London specializing in the study of European languages, literatures, cultures, and social contexts.
-
C.
Department of Theoretical and Applied Linguistics, University of Cambridge
The Department of Theoretical and Applied Linguistics at the University of Cambridge is a leading academic centre for research and teaching in linguistics, covering areas such as syntax, phonology, semantics, psycholinguistics, and language acquisition.
-
D.
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.
-
E.
UCL Centre for Translation Studies
The UCL Centre for Translation Studies is a leading academic hub at University College London dedicated to research and postgraduate training in translation, interpreting, and intercultural communication.
- 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: School of Languages, Linguistics and Film, Queen Mary University of London Triple: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Languages, Linguistics and Film, Queen Mary University of London]
Generated description
The School of Languages, Linguistics and Film at Queen Mary University of London is an academic department specializing in the study and research of modern languages, linguistics, comparative literature, and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Languages, Linguistics and Film, Queen Mary University of London Target entity description: The School of Languages, Linguistics and Film at Queen Mary University of London is an academic department specializing in the study and research of modern languages, linguistics, comparative literature, and film.
-
A.
School of Linguistics and Literary Studies
The School of Linguistics and Literary Studies is an academic faculty at Osnabrück University specializing in language, linguistics, and literary scholarship.
-
B.
UCL School of European Languages, Culture and Society
The UCL School of European Languages, Culture and Society is an academic department at University College London specializing in the study of European languages, literatures, cultures, and social contexts.
-
C.
Department of Theoretical and Applied Linguistics, University of Cambridge
The Department of Theoretical and Applied Linguistics at the University of Cambridge is a leading academic centre for research and teaching in linguistics, covering areas such as syntax, phonology, semantics, psycholinguistics, and language acquisition.
-
D.
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.
-
E.
UCL Centre for Translation Studies
The UCL Centre for Translation Studies is a leading academic hub at University College London dedicated to research and postgraduate training in translation, interpreting, and intercultural communication.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3a5e7c819098b2f9ccbde7cf94 |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e65b9d4c8190b1f520ed08256372 |
completed | April 5, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69d2e82a49e08190918e85d8b8b2e5c6 |
completed | April 5, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e8a37b388190a0d79d61573cf06d |
completed | April 5, 2026, 10:56 p.m. |
Created at: March 30, 2026, 9:09 p.m.