Triple

T7121278
Position Surface form Disambiguated ID Type / Status
Subject Sri Vaishnavism E165955 entity
Predicate scripturalBasis P2326 FINISHED
Object Vedas E18562 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: Vedas | Statement: [Sri Vaishnavism, scripturalBasis, Vedas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vedas
Context triple: [Sri Vaishnavism, scripturalBasis, 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. Mulasutras
    Mulasutras are foundational Jain canonical texts that outline core doctrines, ethical principles, and monastic disciplines within the Agama literature.
  • E. Vālmīki
    Vālmīki is the revered ancient Indian sage traditionally credited as the author of the Sanskrit epic Ramayana.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61e67788190959fbd7fa6c929d3 completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a32ba9588190a078723207c4f823 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.