Triple

T19963387
Position Surface form Disambiguated ID Type / Status
Subject Paramapada E479870 entity
Predicate attainableThrough P16015 FINISHED
Object bhakti 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: bhakti | Statement: [Paramapada, attainableThrough, bhakti]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attainableThrough
Context triple: [Paramapada, attainableThrough, bhakti]
  • A. canReach
    Indicates that one entity is able to access, arrive at, or establish a path to another entity.
  • B. accessibleFrom
    Indicates that one entity can be reached, entered, or used starting from another entity, typically without obstruction.
  • C. accessibleWithin
    Indicates that one entity can be reached, used, or entered from within the spatial or contextual bounds of another entity.
  • D. canAchieve chosen
    Indicates that an entity has the ability or potential to successfully attain or accomplish a specified goal, state, or outcome.
  • E. accessibleOn
    Indicates that one entity can be reached, used, or obtained through another entity (such as a platform, device, or medium).
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af619108190825cbcfb6b8e1fa5 completed April 20, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69e537f7e4848190b431a69ec3f1b609 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:54 p.m.