Triple

T20081024
Position Surface form Disambiguated ID Type / Status
Subject Jesus and Mary College, University of Delhi E499999 entity
Predicate hasDepartment P35 FINISHED
Object Department of French NE NERFINISHED

How this triple was built (3 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 | Statement: [Jesus and Mary College, University of Delhi, hasDepartment, Department of French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of French
Context triple: [Jesus and Mary College, University of Delhi, hasDepartment, Department of French]
  • A. Department of French
    The Department of French is an academic unit specializing in French language, literature, and culture within the Allama Iqbal Campus.
  • B. Department of French Language
    The Department of French Language is an academic unit specializing in French language, literature, and linguistics within the Faculty of Al-Alsun (Languages).
  • C. Department of French Studies
    The Department of French Studies is an academic unit at the University of Belgrade specializing in French language, literature, and culture within the broader field of philology.
  • D. Department of French Language and Culture
    The Department of French Language and Culture is an academic unit at Gakushuin University's Faculty of Letters dedicated to the study of the French language, literature, and Francophone cultures.
  • E. Department of French Language and Literature
    The Department of French Language and Literature is an academic unit at Korea University dedicated to the study of the French language, its literature, and related Francophone cultures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of French
Target entity description: The Department of French at Jesus and Mary College, University of Delhi, is an academic unit dedicated to teaching and promoting the French language, literature, and culture.
  • A. Department of French
    The Department of French is an academic unit specializing in French language, literature, and culture within the Allama Iqbal Campus.
  • B. Department of French Language
    The Department of French Language is an academic unit specializing in French language, literature, and linguistics within the Faculty of Al-Alsun (Languages).
  • C. Department of French Studies
    The Department of French Studies is an academic unit at the University of Belgrade specializing in French language, literature, and culture within the broader field of philology.
  • D. Department of French Language and Culture
    The Department of French Language and Culture is an academic unit at Gakushuin University's Faculty of Letters dedicated to the study of the French language, literature, and Francophone cultures.
  • E. Department of French Language and Literature
    The Department of French Language and Literature is an academic unit at Korea University dedicated to the study of the French language, its literature, and related Francophone cultures.
  • F. None of above. chosen

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.