Triple

T992112
Position Surface form Disambiguated ID Type / Status
Subject Ganesh Chaturthi E21413 entity
Predicate spiritualTheme P6456 FINISHED
Object removal of obstacles 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: removal of obstacles | Statement: [Ganesh Chaturthi, spiritualTheme, removal of obstacles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spiritualTheme
Context triple: [Ganesh Chaturthi, spiritualTheme, removal of obstacles]
  • A. hasSpiritualDimension chosen
    Indicates that something possesses or involves a non-material, spiritual, or transcendent aspect or quality.
  • B. spiritualFruit
    Indicates a relationship where a person exhibits or produces positive moral or spiritual qualities as an outcome of their inner spiritual life or influence.
  • C. philosophicalTheme
    Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
  • D. spiritualDiscipline
    Indicates a relationship where an entity engages in or practices a form of spiritual training, exercise, or regimen aimed at cultivating spiritual growth or character.
  • E. primarySpirit
    Indicates that one entity is the main or most fundamental spiritual essence associated with another 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c25e5081909ff1ada6b8bf617a completed March 1, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69a4b2adbde48190b07966d0c3179516 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.