Triple

T7852238
Position Surface form Disambiguated ID Type / Status
Subject Buldhana district E182083 entity
Predicate hasSpokenLanguage P741 FINISHED
Object Varhadi dialect E134895 NE FINISHED

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: Varhadi dialect | Statement: [Buldhana district, hasSpokenLanguage, Varhadi dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varhadi dialect
Context triple: [Buldhana district, hasSpokenLanguage, Varhadi dialect]
  • A. Varhadi dialect chosen
    Varhadi dialect is a regional variety of the Marathi language spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
  • B. Barwar dialect
    The Barwar dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Barwar region in northern Iraq.
  • C. Doabi dialect
    The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
  • D. Werchikwar dialect
    The Werchikwar dialect is a regional variety of the Burushaski language spoken by Burusho communities in parts of northern Pakistan.
  • E. Weda dialect
    The Weda dialect is a regional variety of the Sawai language spoken by communities in the Weda area of Halmahera in eastern Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ec48548190960bd564a60effa8 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b161a4881909641f3a29c1650b4 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.