Triple

T19565190
Position Surface form Disambiguated ID Type / Status
Subject Sunaina E489563 entity
Predicate languageOfUse P237 FINISHED
Object Bangla NE NERFINISHED

How this triple was built (2 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: Bangla | Statement: [Sunaina, languageOfUse, Bangla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangla
Context triple: [Sunaina, languageOfUse, Bangla]
  • A. Bengali chosen
    Bengali is an Indo-Aryan language spoken primarily in the Bengal region of South Asia and serving as the official and most widely used language of Bangladesh and the Indian state of West Bengal.
  • B. Bangladeshi
    Bangladeshi refers to a person or attribute associated with Bangladesh, particularly its people, nationality, or cultural heritage.
  • C. Bangála
    Bangála is an alternative name for Bangala, which can refer to various places, languages, or cultural entities associated with Central or West Africa depending on context.
  • D. Bengali Wikisource
    Bengali Wikisource is the Bengali-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
  • E. Bengali script
    Bengali script is an abugida used across eastern South Asia to write languages such as Bengali and Assamese, derived from the ancient Brahmi script.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f76b220819096e668534c6bac67 completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.