Triple

T20104965
Position Surface form Disambiguated ID Type / Status
Subject Malvi people E490143 entity
Predicate hasDialect P4251 FINISHED
Object Ujjaini 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: Ujjaini Malvi | Statement: [Malvi people, hasDialect, Ujjaini Malvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ujjaini Malvi
Context triple: [Malvi people, hasDialect, Ujjaini Malvi]
  • A. Ujjaini Malvi chosen
    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.
  • B. Sondhwari Malvi
    Sondhwari Malvi is a regional dialect of the Malvi language spoken in parts of central India.
  • C. Rajawari Malvi
    Rajawari Malvi is a regional dialect of the Malvi language spoken in parts of central India.
  • D. Bhoyari Malvi
    Bhoyari Malvi is a regional dialect of the Malvi language spoken by communities in parts of central India.
  • E. Jain Maharashtri
    Jain Maharashtri is a literary variety of the Prakrit language historically used in Jain religious texts and inscriptions.
  • 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.