Triple

T19594286
Position Surface form Disambiguated ID Type / Status
Subject Shruti E470311 entity
Predicate includes P1393 FINISHED
Object Vedas 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: Vedas | Statement: [Shruti, includes, Vedas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vedas
Context triple: [Shruti, includes, Vedas]
  • A. Vedas chosen
    The Vedas are a collection of ancient sacred texts composed in Sanskrit that form the foundational spiritual and philosophical scriptures of Hinduism.
  • B. Rigveda
    The Rigveda is the oldest of the four Vedas, a foundational collection of ancient Sanskrit hymns that form a core sacred text of Hinduism.
  • C. Upanishads
    The Upanishads are a collection of ancient Indian philosophical texts that explore the nature of ultimate reality (Brahman), the self (Atman), and the path to spiritual liberation, forming a foundational component of Hindu thought.
  • D. Veda and Upanishads
    Veda and Upanishads are foundational ancient Indian scriptures that present early Vedic hymns and later philosophical teachings exploring the nature of reality, self, and ultimate truth.
  • E. Mulasutras
    Mulasutras are foundational Jain canonical texts that outline core doctrines, ethical principles, and monastic disciplines within the Agama literature.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640793cd88190b9b84491bfb2493f completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.