Triple

T31645346
Position Surface form Disambiguated ID Type / Status
Subject Adi tala E807569 entity
Predicate tempoFlexibility P80208 FINISHED
Object can be rendered in vilamba madhyama and druta kalas 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: can be rendered in vilamba madhyama and druta kalas | Statement: [Adi tala, tempoFlexibility, can be rendered in vilamba madhyama and druta kalas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tempoFlexibility
Context triple: [Adi tala, tempoFlexibility, can be rendered in vilamba madhyama and druta kalas]
  • A. flexibility chosen
    Indicates the degree to which an entity can adapt, bend, or change its behavior, structure, or response in relation to other entities or conditions.
  • B. positionFlexibility
    Indicates the degree to which an entity’s role, location, or alignment can change or be adjusted relative to others or to a reference point.
  • C. tempo
    Indicates the speed or pace at which an action, process, or sequence unfolds over time.
  • D. providesFlexibilityFor
    Indicates that one entity offers options, adaptability, or freedom of choice to another entity in how something is done or used.
  • E. movement7Tempo
    Indicates the tempo at which the seventh movement of a work is performed or intended to be played.
  • 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_69f348d9ce58819093ea2da83cbeeec1 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6e6029a10819098ff21f58079e70e completed May 3, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 30, 2026, 10:50 p.m.