Triple

T20104968
Position Surface form Disambiguated ID Type / Status
Subject Malvi people E490143 entity
Predicate hasDialect P4251 FINISHED
Object Bhoyari Malvi 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: Bhoyari Malvi | Statement: [Malvi people, hasDialect, Bhoyari Malvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhoyari Malvi
Context triple: [Malvi people, hasDialect, Bhoyari Malvi]
  • A. Bhoyari Malvi chosen
    Bhoyari Malvi is a regional dialect of the Malvi language spoken by communities in parts of central India.
  • B. Ujjaini Malvi
    Ujjaini Malvi is a regional dialect of the Malvi language spoken primarily in and around the city of Ujjain in the Indian state of Madhya Pradesh.
  • C. Rajawari Malvi
    Rajawari Malvi is a regional dialect of the Malvi language spoken in parts of central India.
  • D. Chhindwara Gondi
    Chhindwara Gondi is a regional variety of the Gondi language spoken primarily by Gondi communities in and around the Chhindwara district of central India.
  • E. Marwari
    Marwari is an Indo-Aryan language of western India, primarily spoken in Rajasthan and surrounding regions, and closely related to Gujarati and other Rajasthani dialects.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666daf73c819089f02ca6faa2c283 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.