Triple

T14603382
Position Surface form Disambiguated ID Type / Status
Subject Manmatha E342761 entity
Predicate literaryLanguage P9828 FINISHED
Object Bangla E5055 NE FINISHED

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: [Manmatha, literaryLanguage, Bangla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangla
Context triple: [Manmatha, literaryLanguage, 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 (3 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43a1bb48190bf520cb961f15b5e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91d05e48190ac945e381d6d5dd9 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.