Triple

T21975929
Position Surface form Disambiguated ID Type / Status
Subject Bharatiya Jnanpith E542703 entity
Predicate awards P11 FINISHED
Object Murtidevi Granth Puraskar 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: Murtidevi Granth Puraskar | Statement: [Bharatiya Jnanpith, awards, Murtidevi Granth Puraskar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murtidevi Granth Puraskar
Context triple: [Bharatiya Jnanpith, awards, Murtidevi Granth Puraskar]
  • A. Moortidevi Award chosen
    The Moortidevi Award is a prestigious Indian literary honor presented annually for outstanding works of contemplative or philosophical literature in Indian languages.
  • B. Ananda Puraskar
    Ananda Puraskar is a prestigious Bengali literary award presented annually to honor outstanding contributions to Bengali literature.
  • C. Saraswati Samman
    Saraswati Samman is a prestigious Indian literary award presented annually for outstanding prose or poetry works in any of the major Indian languages.
  • D. Bankim Puraskar
    Bankim Puraskar is a prestigious literary award from West Bengal, India, given for outstanding works in Bengali literature.
  • E. Sahitya Sangskriti Puraskar
    Sahitya Sangskriti Puraskar is a Bangladeshi literary award recognizing significant contributions to literature and cultural writing.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124886418819091daed0988432350 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.