Triple

T19731161
Position Surface form Disambiguated ID Type / Status
Subject King Virata E473855 entity
Predicate fatherOf P120 FINISHED
Object Shveta 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: Shveta | Statement: [King Virata, fatherOf, Shveta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shveta
Context triple: [King Virata, fatherOf, Shveta]
  • A. Shveta chosen
    Shveta is a character in the Indian epic Mahabharata, known as a prince of the Matsya kingdom and son of King Virata.
  • B. Sveta
    Sveta is a common Russian diminutive form of the female given name Svetlana, often used as an affectionate or informal nickname.
  • C. Malisheva
    Malisheva is a town and municipality in central Kosovo known for its location in the historical Dukagjin region and its role as a local administrative and economic center.
  • D. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • E. Yakushova
    Yakushova is a Russian surname, notably borne by Nina Ivanovna Yakushova.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649fd18148190a6e85b2be0069dde completed April 20, 2026, 3:45 p.m.
Created at: April 10, 2026, 1:47 p.m.