Triple

T16351315
Position Surface form Disambiguated ID Type / Status
Subject Nakh languages E397067 entity
Predicate hasPart P35 FINISHED
Object Ingush language E91569 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: Ingush language | Statement: [Nakh languages, hasPart, Ingush language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingush language
Context triple: [Nakh languages, hasPart, Ingush language]
  • A. Ingush chosen
    Ingush are a Northeast Caucasian ethnic group indigenous to the North Caucasus region of Russia, closely related culturally and linguistically to the Chechens.
  • B. Chechen language
    The Chechen language is a Northeast Caucasian language primarily spoken in the Chechen Republic of Russia and by Chechen communities in the Caucasus and diaspora.
  • C. Erzya language
    The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central Russia.
  • D. Adyghe language
    Adyghe language is a Northwest Caucasian language spoken primarily by the Adyghe (Circassian) people in the Republic of Adygea and surrounding regions of the Russian Federation.
  • E. Ossetian language
    The Ossetian language is an Eastern Iranian language spoken primarily in the Caucasus region of Russia, especially in North and South Ossetia.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facb37d0819093fe45446f1e79c1 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db6375c81908c64dbe2bc987b1a completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.