Triple

T20098871
Position Surface form Disambiguated ID Type / Status
Subject Janaki E496478 entity
Predicate associatedWith P37 FINISHED
Object Agni Pariksha 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: Agni Pariksha | Statement: [Janaki, associatedWith, Agni Pariksha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agni Pariksha
Context triple: [Janaki, associatedWith, Agni Pariksha]
  • A. Agni Pariksha chosen
    Agni Pariksha is a trial by fire in the Hindu epic Ramayana, in which Sita proves her purity and chastity.
  • B. Alambanapariksa
    Alambanapariksa is a foundational Buddhist epistemological treatise that analyzes the nature of cognitive objects and perception, traditionally attributed to the Indian philosopher Dignaga.
  • C. Chakravyuh
    Chakravyuh is a 2012 Indian political action drama film that explores the complexities of Naxalism and state power in rural India.
  • D. Aishika Parva
    Aishika Parva is a section of the Indian epic Mahabharata that continues the narrative following the events of the Sauptika Parva.
  • E. Pacharauta
    Pacharauta is a municipality-level town located in Nepal’s Madhesh Province, near the country’s southern border with India.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:26 p.m.