Triple

T36004421
Position Surface form Disambiguated ID Type / Status
Subject Hevajra Tantra E1041223 entity
Predicate scripturalClass P6836 FINISHED
Object Anuttarayoga Tantra 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: Anuttarayoga Tantra | Statement: [Hevajra Tantra, scripturalClass, Anuttarayoga Tantra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scripturalClass
Context triple: [Hevajra Tantra, scripturalClass, Anuttarayoga Tantra]
  • A. scriptureType chosen
    Indicates the classification or category of a scripture in relation to its type or genre.
  • B. scripturalExpertise
    Indicates a relationship where one entity possesses specialized knowledge or authoritative understanding of religious scriptures in relation to another entity or context.
  • C. scripturalFunction
    Indicates the role or purpose that a text or passage serves within a scriptural or religious context.
  • D. scripturalFeature
    Indicates a relationship where something possesses or exhibits a characteristic, element, or quality specifically associated with scripture or sacred texts.
  • E. scripturalBasis
    Indicates that one entity serves as the religious or scriptural foundation, support, or justification for another entity (such as a belief, practice, or doctrine).
  • 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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd32848ea88190a71e6df402bbb30e completed May 8, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69fd2d7e95588190991d5f21e25155df completed May 8, 2026, 12:25 a.m.
Created at: May 3, 2026, 4:07 p.m.