Triple

T20551765
Position Surface form Disambiguated ID Type / Status
Subject Hatha Yoga tradition E504611 entity
Predicate includesEthicalAspect P94364 FINISHED
Object observance of yamas and niyamas 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: observance of yamas and niyamas | Statement: [Hatha Yoga tradition, includesEthicalAspect, observance of yamas and niyamas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesEthicalAspect
Context triple: [Hatha Yoga tradition, includesEthicalAspect, observance of yamas and niyamas]
  • A. hasEthicalDimension
    Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
  • B. hasEthicalConstraint
    Indicates that an entity is subject to a specified ethical rule, limitation, or normative requirement that governs its behavior or decisions.
  • C. hasEthicalStandard
    Indicates that an entity adheres to, follows, or is governed by a specified set of ethical principles or standards.
  • D. hasEthicalAssessment
    Indicates that an entity has been evaluated according to ethical criteria or standards.
  • E. hasEthicOrApproach chosen
    Indicates that one entity possesses, follows, or is characterized by a particular ethic, principle, or methodological approach in its behavior or practice.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d98c348190ac516bc2df59d878 completed April 20, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69e59fe5592c8190bb6122b784496d02 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:38 a.m.