Triple

T11673926
Position Surface form Disambiguated ID Type / Status
Subject dependent origination E277443 entity
Predicate hasPracticalApplicationIn P46656 FINISHED
Object insight meditation 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: insight meditation | Statement: [dependent origination, hasPracticalApplicationIn, insight meditation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPracticalApplicationIn
Context triple: [dependent origination, hasPracticalApplicationIn, insight meditation]
  • A. hasProfessionalApplication
    Indicates that something is used or applied within a professional, occupational, or work-related context.
  • B. usedInPractice chosen
    Indicates that something is actually applied or implemented in real-world practice rather than just being theoretical or proposed.
  • C. appliesResearchTo
    Indicates that an entity uses or implements research findings, methods, or insights in relation to another entity, context, or problem.
  • D. hasProductionUse
    Indicates that something is utilized or applied within a production or operational environment.
  • E. appliedPrimarilyTo
    Indicates that something is used mainly or chiefly in relation to a particular target, context, or purpose, rather than being used broadly or equally elsewhere.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a443b6848190a1eb6825fbc49d08 completed April 10, 2026, 7:18 a.m.
PD Predicate disambiguation batch_69d88a77e6e88190b7519100bde76575 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.