Triple

T20317417
Position Surface form Disambiguated ID Type / Status
Subject Rangpur E510413 entity
Predicate localDialect P1762 FINISHED
Object Rangpuri Dialect 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: Rangpuri Dialect | Statement: [Rangpur, localDialect, Rangpuri Dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rangpuri Dialect
Context triple: [Rangpur, localDialect, Rangpuri Dialect]
  • A. Rangpuri language chosen
    Rangpuri language is an Indo-Aryan language spoken primarily in parts of Bangladesh and India, especially around the Rangpur region, and is closely related to Bengali and Assamese.
  • B. Rampuri dialect
    Rampuri dialect is a regional variety of Hindi-Urdu spoken in and around the city of Rampur in northern India, characterized by its distinct phonetic and lexical features.
  • C. Kauravi dialect
    Kauravi dialect is a regional variety of Hindi-Urdu traditionally spoken in and around the Delhi region of northern India.
  • D. Shekhawati dialect
    The Shekhawati dialect is a regional variety of Rajasthani spoken primarily in the Shekhawati region of Rajasthan, India.
  • E. Tyari dialect
    The Tyari dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Tyari region in the Hakkari mountains.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67788ca3c8190a3496fd54a5870d6 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.