Triple

T9577078
Position Surface form Disambiguated ID Type / Status
Subject Shantikunj E231071 entity
Predicate primaryDeity P7648 FINISHED
Object Gayatri E448864 NE 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: Gayatri | Statement: [Shantikunj, primaryDeity, Gayatri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gayatri
Context triple: [Shantikunj, primaryDeity, Gayatri]
  • A. Gayatri
    Gayatri is a highly revered Vedic poetic meter consisting of three lines of eight syllables each, widely used in Hindu sacred hymns and mantras.
  • B. Goddess Savitri chosen
    Goddess Savitri is a Vedic solar deity revered as the personified divine light and wisdom invoked in the Gayatri Mantra.
  • C. Goddess Sharada
    Goddess Sharada is a revered Hindu deity of wisdom, learning, and the arts, venerated as a form of Saraswati and especially worshipped at the Sringeri Sharada Peetham in Karnataka, India.
  • D. Katyayani
    Katyayani is a fierce and protective form of the Hindu goddess Durga, venerated especially for granting strength, courage, and the removal of obstacles.
  • E. Bagalamukhi
    Bagalamukhi is a Hindu goddess and one of the ten Mahavidyas, revered for her power to paralyze enemies and silence negative forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ad7d108190a0b8c975351ea727 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16155b3288190ac135c3a1e58cc7e completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.