Triple

T17937431
Position Surface form Disambiguated ID Type / Status
Subject Variyasi E448502 entity
Predicate associatedRegion P285 FINISHED
Object Vraja 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: Vraja | Statement: [Variyasi, associatedRegion, Vraja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vraja
Context triple: [Variyasi, associatedRegion, Vraja]
  • A. Vraj chosen
    Vraj is a culturally and religiously significant region in northern India associated with the life and legends of the Hindu deity Krishna.
  • B. Dhara
    Dhara was the historic capital city of the Paramara dynasty in central India, known as an important political and cultural center during the medieval period.
  • C. Vani
    Vani is a feminine given name commonly used in India, often associated with speech, eloquence, and the Hindu goddess Saraswati.
  • D. Vani
    Vani is a historic town in western Georgia’s Imereti region, known for its important archaeological sites from the ancient Colchian civilization.
  • E. Brahvi
    Brahvi is an alternative name for the Brahui language, a Dravidian language spoken primarily in Pakistan’s Balochistan region.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad937f0881909d22ac8c2be9e35e completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.