Triple

T34150687
Position Surface form Disambiguated ID Type / Status
Subject Kamika Ekadashi E875984 entity
Predicate narrativeContains P11859 FINISHED
Object dialogue between Krishna and Yudhishthira in some traditions LITERAL 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: dialogue between Krishna and Yudhishthira in some traditions | Statement: [Kamika Ekadashi, narrativeContains, dialogue between Krishna and Yudhishthira in some traditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeContains
Context triple: [Kamika Ekadashi, narrativeContains, dialogue between Krishna and Yudhishthira in some traditions]
  • A. containsNarrativeOf
    Indicates that one entity includes or presents the story, account, or narrative content of another entity.
  • B. hasNarrative chosen
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • C. hasPartInNarrative
    Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
  • D. narratesWith
    Indicates that one entity tells, recounts, or presents a story, event, or information in conjunction with or alongside another entity.
  • E. narrativePremise
    Indicates the foundational situation, conflict, or setup that initiates and drives the narrative’s events.
  • F. None of above.

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_69f349abaa508190a820f206620efddc completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fcd867f36081908c88c55a6a1404c1 completed May 7, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69fcd1f47b188190b4cf4b4c748d9d03 completed May 7, 2026, 5:55 p.m.
Created at: May 1, 2026, 1:54 a.m.