Triple

T7015297
Position Surface form Disambiguated ID Type / Status
Subject Sandesh E162685 entity
Predicate hasVariant P455 FINISHED
Object bhapa sandesh E162685 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: bhapa sandesh | Statement: [Sandesh, hasVariant, bhapa sandesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bhapa sandesh
Context triple: [Sandesh, hasVariant, bhapa sandesh]
  • A. Sandesh chosen
    Sandesh is a traditional Bengali milk-based sweet delicacy, especially associated with the cuisine and festivals of West Bengal, India.
  • B. Barnaparichay
    Barnaparichay is a foundational Bengali primer authored by social reformer Ishwar Chandra Vidyasagar that has long been used to teach children the Bengali alphabet and basic literacy.
  • C. Kshamavani
    Kshamavani is a Jain festival of forgiveness and reconciliation, observed at the end of the Paryushana period, during which followers seek and grant pardon for past wrongs.
  • D. Akaler Sandhane
    Akaler Sandhane is a critically acclaimed 1980 Bengali film by director Mrinal Sen that explores the lingering social and psychological impact of the 1943 Bengal famine through a film-within-a-film narrative.
  • E. BABA
    BABA is the stock ticker for Alibaba Group Holding Limited, a leading Chinese multinational technology company specializing in e-commerce, cloud computing, digital media, and related services.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d43e948190843f1cef3ce2004e completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a53e96081909dfe21a80b20f80d completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.