Triple

T5737154
Position Surface form Disambiguated ID Type / Status
Subject Wheel of Dharma E126528 entity
Predicate hubRepresents P39361 FINISHED
Object moral discipline 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: moral discipline | Statement: [Wheel of Dharma, hubRepresents, moral discipline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hubRepresents
Context triple: [Wheel of Dharma, hubRepresents, moral discipline]
  • A. hubFor
    Indicates that one entity serves as a central node or focal point through which activities, connections, or resources related to another entity are organized or routed.
  • B. componentRepresents chosen
    Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
  • C. memberRepresents
    Indicates that one entity serves as an official representative or delegate acting on behalf of another entity within a group, organization, or body.
  • D. representsHost
    Indicates that one entity serves as the host or hosting environment for another entity, providing the context, platform, or resources in which the other operates or resides.
  • E. fieldRepresents
    Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255ad6f48190977bf4f037110aa3 completed March 22, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69c021c8195481909419808b002628aa completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:47 p.m.