Triple

T7513650
Position Surface form Disambiguated ID Type / Status
Subject Nogai language E177586 entity
Predicate hasDialect P4251 FINISHED
Object Nogai proper E218126 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: Nogai proper | Statement: [Nogai language, hasDialect, Nogai proper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogai proper
Context triple: [Nogai language, hasDialect, Nogai proper]
  • A. Nogai chosen
    Nogai is a Turkic language spoken primarily by the Nogai people of the North Caucasus region in Russia.
  • B. Nogai Khan
    Nogai Khan was a powerful Mongol general and de facto ruler in the western part of the Golden Horde during the late 13th century.
  • C. Nogais
    Nogais are a Turkic ethnic group traditionally known as semi-nomadic pastoralists of the North Caucasus and Caspian steppe regions.
  • D. Kitbuqa Noyan
    Kitbuqa Noyan was a 13th-century Mongol general and commander under Hulagu Khan, best known for leading Mongol forces in the Levant during their defeat by the Mamluks at the Battle of Ain Jalut.
  • E. Khan-i-Khanan
    Khan-i-Khanan was the honorific title of the powerful Mughal regent and military commander Bairam Khan, who served as mentor and guardian to Emperor Akbar.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d6ccb08190a568a9b58bfbd0cc completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84619aac8819083a1d7380f4b30d3 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.