Triple

T17979361
Position Surface form Disambiguated ID Type / Status
Subject Raghava E449558 entity
Predicate transliterationIAST P75698 FINISHED
Object Rāghava 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: Rāghava | Statement: [Raghava, transliterationIAST, Rāghava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rāghava
Context triple: [Raghava, transliterationIAST, Rāghava]
  • A. Raghava chosen
    Raghava is an epithet of the Hindu deity Rama, highlighting his lineage from the Raghu dynasty and his role as a central hero of the Ramayana.
  • B. Rama
    Rama is a Palestinian village in the Galilee region of northern Israel, historically notable for its capture during the 1948 Arab–Israeli War.
  • C. Rama
    Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
  • D. Rama
    Rama is a common Albanian surname notably borne by Edi Rama, the Prime Minister of Albania.
  • E. Rama
    Rama is a character in John Steinbeck’s novel "To a God Unknown," representing mystical and spiritual elements within the story’s exploration of land, faith, and destiny.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b201d1508190a9d6abbfd04bdcae completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.