Triple

T2014769
Position Surface form Disambiguated ID Type / Status
Subject Kipchak languages E43768 entity
Predicate includesLanguage P2177 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: [Kipchak languages, includesLanguage, Nogai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogai language
Context triple: [Kipchak languages, includesLanguage, 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. Bashkir language
    The Bashkir language is a Turkic language spoken primarily by the Bashkir people in Russia, especially in the Republic of Bashkortostan.
  • C. Sakha language
    The Sakha language is a Turkic language spoken primarily by the Sakha (Yakut) people in northeastern Siberia, where it serves as a major regional and cultural language.
  • D. Isnag language
    The Isnag language is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon in the Philippines.
  • E. Kipchak languages
    The Kipchak languages are a branch of the Turkic language family historically spoken by the Kipchak Turkic peoples across the Eurasian steppe, including groups such as the Crimean Tatars, Kazakhs, and Kyrgyz.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aeca6388190befe0630d44de109 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:37 p.m.