Triple

T5193866
Position Surface form Disambiguated ID Type / Status
Subject Coat of arms of Chechnya E117219 entity
Predicate hasInscriptionLanguage P3372 FINISHED
Object Chechen E90390 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: Chechen | Statement: [Coat of arms of Chechnya, hasInscriptionLanguage, Chechen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chechen
Context triple: [Coat of arms of Chechnya, hasInscriptionLanguage, Chechen]
  • A. Chechen language chosen
    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.
  • B. Chechens
    Chechens are a predominantly Muslim ethnic group native to the North Caucasus region, known for their distinct language, culture, and strong clan-based social traditions.
  • C. Chuvash
    Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
  • D. Adyghe
    Adyghe are a Northwest Caucasian ethnic group, also known as Circassians, indigenous to the northwestern Caucasus region.
  • E. Karachay-Balkar
    Karachay-Balkar is a Turkic language spoken primarily by the Karachay and Balkar peoples in the North Caucasus region of Russia.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79f142488190bc6c57b8ff7ef894 completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09743e08190a3a73fb410a6f124 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.