Triple

T21322147
Position Surface form Disambiguated ID Type / Status
Subject Bangabasi College E525643 entity
Predicate hasDepartment P35 FINISHED
Object Department of Bengali 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 Bengali | Statement: [Bangabasi College, hasDepartment, Department of Bengali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Bengali
Context triple: [Bangabasi College, hasDepartment, Department of Bengali]
  • A. Department of Bengali
    The Department of Bengali is an academic unit at Presidency College, Kolkata, dedicated to the study and research of the Bengali language, literature, and culture.
  • B. Department of Bengali
    The Department of Bengali is an academic unit at Hooghly Mohsin College dedicated to the study and teaching of the Bengali language, literature, and related cultural traditions.
  • C. Department of Bengali
    The Department of Bengali is an academic unit at Rabindra Bharati University dedicated to the study, research, and teaching of the Bengali language, literature, and related cultural traditions.
  • D. Department of Bengali
    The Department of Bengali is an academic unit at Chandernagore College dedicated to the study and teaching of the Bengali language, literature, and related cultural studies.
  • E. Department of Bengali
    The Department of Bengali is an academic unit at Scottish Church College dedicated to the study and teaching of the Bengali language, literature, and related cultural traditions.
  • 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 Bengali
Target entity description: The Department of Bengali is an academic unit at Bangabasi College dedicated to the study and teaching of the Bengali language, literature, and related cultural traditions.
  • A. Department of Bengali
    The Department of Bengali is an academic unit at Presidency College, Kolkata, dedicated to the study and research of the Bengali language, literature, and culture.
  • B. Department of Bengali
    The Department of Bengali is an academic unit at Scottish Church College dedicated to the study and teaching of the Bengali language, literature, and related cultural traditions.
  • C. Department of Bengali
    The Department of Bengali is an academic unit at Hooghly Mohsin College dedicated to the study and teaching of the Bengali language, literature, and related cultural traditions.
  • D. Department of Bengali
    The Department of Bengali is an academic unit at Rabindra Bharati University dedicated to the study, research, and teaching of the Bengali language, literature, and related cultural traditions.
  • E. Department of Bengali
    The Department of Bengali is an academic unit at Chandernagore College dedicated to the study and teaching of the Bengali language, literature, and related cultural studies.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed2640c8190a81b087e2c49c500 completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:40 p.m.