Triple

T5616662
Position Surface form Disambiguated ID Type / Status
Subject Saketa E147493 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Saketa E147493 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: Saketa | Statement: [Saketa, hasAlternativeTransliteration, Saketa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saketa
Context triple: [Saketa, hasAlternativeTransliteration, Saketa]
  • A. Saketa chosen
    Saketa is the ancient name of the historic Indian city now known as Ayodhya, a major cultural and religious center in Hindu tradition.
  • B. Akrura
    Akrura is a revered figure in Hindu mythology, known as a devout Yadava charioteer and ally of Krishna who played a key role in bringing him to Mathura.
  • C. Adhiratha
    Adhiratha is a charioteer in the Mahabharata who finds and raises the abandoned infant Karna as his own son.
  • D. Sarabha
    Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
  • E. Saartha
    Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021da7f848190bb1cd0270ad6398f completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a0ab9cc8190a01c5309e6cfc598 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:39 p.m.