Triple

T19119698
Position Surface form Disambiguated ID Type / Status
Subject Merkheuli E468007 entity
Predicate hasLanguage P15 FINISHED
Object Abkhaz NE NERFINISHED

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: Abkhaz | Statement: [Merkheuli, hasLanguage, Abkhaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abkhaz
Context triple: [Merkheuli, hasLanguage, Abkhaz]
  • A. Abkhaz–Abaza
    Abkhaz–Abaza is a small Northwest Caucasian language subgroup comprising closely related languages spoken primarily in Abkhazia and parts of the North Caucasus.
  • B. Abkhaz language chosen
    The Abkhaz language is a Northwest Caucasian language spoken primarily in Abkhazia and parts of the Caucasus region, known for its complex consonant system and relatively small vowel inventory.
  • C. Adyghe
    Adyghe are a Northwest Caucasian ethnic group, also known as Circassians, indigenous to the northwestern Caucasus region.
  • D. Abkhazians
    Abkhazians are a Northwest Caucasian ethnic group primarily inhabiting the region of Abkhazia on the eastern coast of the Black Sea, with their own distinct language, culture, and historical identity.
  • E. Adygeysk
    Adygeysk is a small town in southwestern Russia that serves as one of the urban centers of the Republic of Adygea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c810808190a88d5c7859e7c650 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.