Triple

T21330860
Position Surface form Disambiguated ID Type / Status
Subject Mohan Agashe E525893 entity
Predicate hasWonAward P11 FINISHED
Object Padma Shri 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: Padma Shri | Statement: [Mohan Agashe, hasWonAward, Padma Shri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padma Shri
Context triple: [Mohan Agashe, hasWonAward, Padma Shri]
  • A. Padma Shri chosen
    Padma Shri is one of India’s highest civilian honors, awarded by the Government of India to individuals for distinguished contributions in various fields such as arts, education, literature, science, sports, and public service.
  • B. Padma Bhushan
    The Padma Bhushan is one of India’s highest civilian honors, awarded by the Government of India for distinguished service of a high order in any field.
  • C. Padma Vibhushan
    The Padma Vibhushan is India’s second-highest civilian award, conferred for exceptional and distinguished service in any field.
  • D. Bharat Ratna
    Bharat Ratna is India’s highest civilian award, conferred for exceptional service or performance of the highest order in any field of human endeavor.
  • E. Padma awards
    The Padma awards are among India’s highest civilian honors, recognizing exceptional contributions in various fields such as arts, literature, science, public service, and social work.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab5177dc8190b888351e9a45b45f completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.