Triple

T5086900
Position Surface form Disambiguated ID Type / Status
Subject Bhatta school E114658 entity
Predicate viewOnTestimony P61219 FINISHED
Object Vedic testimony as supreme pramana for dharma 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: Vedic testimony as supreme pramana for dharma | Statement: [Bhatta school, viewOnTestimony, Vedic testimony as supreme pramana for dharma]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnTestimony
Context triple: [Bhatta school, viewOnTestimony, Vedic testimony as supreme pramana for dharma]
  • A. hasTestimony
    Indicates that an entity provides, contains, or is associated with a formal statement or account (testimony) about another entity or event.
  • B. gaveTestimonyIn
    Indicates that one entity provided formal testimony or a statement in an official proceeding, event, or context associated with another entity.
  • C. savedByTestimonyOf
    Indicates that an entity is rescued, delivered, or brought to salvation as a result of another entity’s testimony or witness.
  • D. witnesses
    Indicates that one entity observes an event, action, or situation involving another entity, typically as a bystander or observer.
  • E. numberOfWitnessesHeard
    Indicates the count of witnesses whose testimony or statements were heard in a given event or proceeding.
  • F. None of above. chosen

Provenance (4 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd751fb6dc8190be674c92a17e8c0e completed March 20, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69bd7159adc881909effd4382c395c66 completed March 20, 2026, 4:10 p.m.
PDg Predicate description generation batch_69bd73b2c2808190b777e2c2a8a45d3f completed March 20, 2026, 4:20 p.m.
Created at: March 20, 2026, 1:40 p.m.