Triple

T3006715
Position Surface form Disambiguated ID Type / Status
Subject Saryk dialect E81919 entity
Predicate relatedTo P37 FINISHED
Object Ersari dialect E80866 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: Ersari dialect | Statement: [Saryk dialect, relatedTo, Ersari dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ersari dialect
Context triple: [Saryk dialect, relatedTo, Ersari dialect]
  • A. Ersari dialect chosen
    The Ersari dialect is a regional variety of the Turkmen language traditionally spoken by the Ersari Turkmen people, primarily in parts of Turkmenistan and neighboring regions.
  • B. Nohurli dialect
    The Nohurli dialect is a regional variety of Turkmen spoken by the Nohur people in parts of Turkmenistan, distinguished by its unique phonetic and lexical features.
  • 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. Salyr dialect
    The Salyr dialect is a regional variety of the Turkmen language traditionally associated with the Salyr Turkmen tribe.
  • E. Sekopa dialect
    The Sekopa dialect is a regional variety of the Northern Sotho language spoken by specific communities in South Africa, distinguished by its own phonological and lexical features.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a48f0888190bdec150dac623851 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5b35e48190a9319a545d041ccc completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 3 p.m.