Triple

T4882310
Position Surface form Disambiguated ID Type / Status
Subject Paippalada E109357 entity
Predicate textualForm P5468 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: [Paippalada, textualForm, Samhita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samhita
Context triple: [Paippalada, textualForm, 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. Ramamrita
    Ramamrita is the given name of S. R. Ranganathan, the influential Indian mathematician and librarian known as the father of library science in India.
  • C. Mangalkavya
    Mangalkavya is a genre of medieval Bengali narrative poetry that glorifies specific deities and blends religious devotion with local folklore and social themes.
  • D. Kavitrayam
    Kavitrayam refers to the celebrated trio of Telugu poet-scholars who collaboratively translated and shaped the Telugu version of the Mahabharata, profoundly influencing Telugu literature.
  • E. Sakhigeeta
    Sakhigeeta is a celebrated collection of Kannada poems by the renowned poet D. R. Bendre, noted for its lyrical depth and philosophical insight.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dde6fcc8190a5aa7587f85632bd completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be68070bb0819095bda199cc966d31 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.