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.