Triple

T13885946
Position Surface form Disambiguated ID Type / Status
Subject Chaubis Avtar E333842 entity
Predicate sourceTraditionsAdaptedFrom P35836 FINISHED
Object Puranic literature 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: Puranic literature | Statement: [Chaubis Avtar, sourceTraditionsAdaptedFrom, Puranic literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sourceTraditionsAdaptedFrom
Context triple: [Chaubis Avtar, sourceTraditionsAdaptedFrom, Puranic literature]
  • A. religiousTextTradition
    Indicates that a religious text is associated with, originates from, or is authoritative within a particular religious tradition or denomination.
  • B. variantTraditions
    Indicates that there exist differing or alternative traditions or customary practices associated with the same subject or context.
  • C. mainTradition
    Indicates that one entity represents the primary or dominant tradition associated with another entity.
  • D. foundedInTradition
    Indicates that something is established, developed, or grounded within a particular tradition or set of longstanding customary practices.
  • E. foundationalTraditionFor chosen
    Indicates that one tradition serves as a fundamental basis or source upon which another tradition is built or developed.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a101488190bd790b28033d38b9 completed April 14, 2026, 11:23 a.m.
PD Predicate disambiguation batch_69de05972f3881909977b4c843984f88 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:15 p.m.