Triple

T5189249
Position Surface form Disambiguated ID Type / Status
Subject Nogais E117108 entity
Predicate language P15 FINISHED
Object Nogai language E177586 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 language | Statement: [Nogais, language, Nogai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogai language
Context triple: [Nogais, language, Nogai language]
  • A. Nogai language chosen
    The Nogai language is a Turkic language spoken primarily by the Nogai people in parts of the North Caucasus and southern Russia.
  • B. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • C. Khinalug language
    The Khinalug language is a highly endangered Northeast Caucasian language spoken by the Khinalug people in a single mountain village in northern Azerbaijan.
  • D. Udege language
    The Udege language is a critically endangered Tungusic language spoken by the Udege people of the Russian Far East.
  • E. Baigani language
    Baigani language is an indigenous Indo-Aryan language spoken by the Baiga people of central India, particularly in parts of Madhya Pradesh and Chhattisgarh.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c732b48190af62dfffcbc5e3a6 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08dfe648190a98b5a61f857d593 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.