Triple

T21909550
Position Surface form Disambiguated ID Type / Status
Subject Sanskrit literature E541026 entity
Predicate hasPart P35 FINISHED
Object Ṛgveda NE NERFINISHED

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: Ṛgveda | Statement: [Sanskrit literature, hasPart, Ṛgveda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ṛgveda
Context triple: [Sanskrit literature, hasPart, Ṛgveda]
  • A. Rigveda chosen
    The Rigveda is the oldest of the four Vedas, a foundational collection of ancient Sanskrit hymns that form a core sacred text of Hinduism.
  • B. Vedas
    The Vedas are a collection of ancient sacred texts composed in Sanskrit that form the foundational spiritual and philosophical scriptures of Hinduism.
  • C. Vālmīki
    Vālmīki is the revered ancient Indian sage traditionally credited as the author of the Sanskrit epic Ramayana.
  • D. Yajurveda
    Yajurveda is one of the four principal Vedas of Hinduism, primarily focused on prose mantras and ritual formulas used in sacrificial ceremonies.
  • E. Stotras
    Stotras are devotional hymns or chants in Hinduism, particularly revered in Shakta traditions, that praise and invoke deities through poetic and often musical recitation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d8c3108190a178ec6b3857da3f completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:40 p.m.