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.