Triple

T4910945
Position Surface form Disambiguated ID Type / Status
Subject Parashara Smriti E110228 entity
Predicate hasCommentaries P13866 FINISHED
Object traditional Sanskrit commentaries (various authors) 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: traditional Sanskrit commentaries (various authors) | Statement: [Parashara Smriti, hasCommentaries, traditional Sanskrit commentaries (various authors)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommentaries
Context triple: [Parashara Smriti, hasCommentaries, traditional Sanskrit commentaries (various authors)]
  • A. hasCommentaryOn
    Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
  • B. hasManyCommentaries chosen
    Indicates that an entity is associated with multiple commentary records or annotations.
  • C. metaCommentaryOn
    Indicates that one piece of content provides commentary, reflection, or analysis about another piece of content, often discussing its form, structure, or status as a work rather than its subject matter.
  • D. typeOfCommentary
    Indicates that one piece of commentary is a specific kind or subtype of another, more general category of commentary.
  • E. hasMarginalia
    Indicates that one entity (typically a document or page) contains marginal notes, comments, or annotations associated with it.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9acc0c819080b07e2e7924d163 completed March 20, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69bd6c325e188190823836d79934e9bc completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:29 p.m.