Triple

T22555393
Position Surface form Disambiguated ID Type / Status
Subject Wari E557666 entity
Predicate participantsCalled P6049 FINISHED
Object Varkari 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: Varkari | Statement: [Wari, participantsCalled, Varkari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varkari
Context triple: [Wari, participantsCalled, Varkari]
  • A. Varkari chosen
    Varkari are devotees in a Hindu bhakti tradition from Maharashtra, India, known for their annual pilgrimage on foot to the Vithoba temple in Pandharpur.
  • B. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • C. Varketili
    Varketili is a metro station in Tbilisi, Georgia, serving as a key terminus on the Tbilisi Metro network.
  • D. Vrakuňa
    Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • E. Bagvarti
    Bagvarti is a figure known primarily as the wife of Haldi, the chief war and storm god in the Urartian pantheon.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f78d8288190871d54db0a7f454b completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.