Triple

T22033856
Position Surface form Disambiguated ID Type / Status
Subject Bzyb Abkhaz E544150 entity
Predicate hasAlternativeName P39 FINISHED
Object Bzyp 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: Bzyp Abkhaz | Statement: [Bzyb Abkhaz, hasAlternativeName, Bzyp Abkhaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bzyp Abkhaz
Context triple: [Bzyb Abkhaz, hasAlternativeName, Bzyp Abkhaz]
  • A. Bzyb Abkhaz chosen
    Bzyb Abkhaz is a dialect of the Abkhaz language traditionally spoken in the Bzyb River region of Abkhazia.
  • B. Abzhywa Abkhaz
    Abzhywa Abkhaz is a major dialect of the Abkhaz language, spoken primarily in the central Abzhywa region of Abkhazia.
  • C. Sadz Abkhaz
    Sadz Abkhaz are a subgroup of the Abkhaz people traditionally inhabiting parts of the Black Sea coast and northwest Caucasus, known for their distinct dialect and cultural traditions.
  • D. Abaza
    Abaza is a Northwest Caucasian language spoken primarily in the Russian Republic of Karachay-Cherkessia, known for its complex consonant system and rich verbal morphology.
  • E. Tavaeli
    Tavaeli is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ef97348190b8dcdcad11694ebe completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.