Triple

T923491
Position Surface form Disambiguated ID Type / Status
Subject Samaveda E19932 entity
Predicate hasSection P35 FINISHED
Object Samhita E110820 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: Samhita | Statement: [Samaveda, hasSection, Samhita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samhita
Context triple: [Samaveda, hasSection, Samhita]
  • A. Samhita chosen
    Samhita is the mantra-collection portion of the Yajurveda, comprising its core liturgical hymns and formulas used in Vedic rituals.
  • B. Srutakarma
    Srutakarma is a lesser-known figure in the Mahabharata, recognized as one of the sons of the Pandava hero Arjuna.
  • C. Niyati Chakra
    Niyati Chakra is a specialized astronomical instrument at Jantar Mantar in New Delhi used for observing and calculating celestial positions.
  • D. Dasbodh
    Dasbodh is a 17th-century Marathi spiritual and philosophical text by Samarth Ramdas that offers practical guidance on devotion, ethics, and everyday life.
  • E. Swayam
    Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b314f6fc81908a3ccc2e741e3c2b completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16fbe454819085020fc245c959ed completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:40 p.m.