Triple

T25233093
Position Surface form Disambiguated ID Type / Status
Subject Siddhars E632265 entity
Predicate transmittedTeachings P59381 FINISHED
Object through oral tradition 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: through oral tradition | Statement: [Siddhars, transmittedTeachings, through oral tradition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transmittedTeachings
Context triple: [Siddhars, transmittedTeachings, through oral tradition]
  • A. recordsTeachingsOf
    Indicates that one entity documents or preserves the teachings, lessons, or doctrinal content associated with another entity.
  • B. sharesTeachingsWith
    Indicates that one entity communicates or imparts its knowledge, doctrines, or instructional content to another entity.
  • C. completesTeachingsOf
    Indicates that one entity finishes, fulfills, or brings to completion the teachings or doctrinal content associated with another entity.
  • D. developsTeachingsOf
    Indicates that one entity expands, elaborates, or builds upon the teachings or doctrines originally proposed by another entity.
  • E. religiousTransmission chosen
    Indicates the passing on or spread of religious beliefs, practices, or traditions from one entity to another.
  • 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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f66598d6008190a7ca8ff80399fd34 completed May 2, 2026, 8:59 p.m.
Created at: April 21, 2026, 1:06 p.m.