Triple

T5124788
Position Surface form Disambiguated ID Type / Status
Subject Zaporizhzhia Oblast E115557 entity
Predicate languageOfficial P236 FINISHED
Object Ukrainian E73023 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: Ukrainian | Statement: [Zaporizhzhia Oblast, languageOfficial, Ukrainian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ukrainian
Context triple: [Zaporizhzhia Oblast, languageOfficial, Ukrainian]
  • A. Ukrainian language chosen
    Ukrainian language is an East Slavic language spoken primarily in Ukraine and written in a variant of the Cyrillic script.
  • B. Surzhyk
    Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
  • C. Ukrainians
    Ukrainians are an East Slavic ethnic group native to Ukraine, characterized by their own language, culture, and national identity.
  • D. Ukrainka
    Ukrainka is a small city in northern Ukraine situated along the Dnipro River within the Kyiv metropolitan area.
  • E. Rusyn language
    The Rusyn language is an East Slavic minority language spoken by Rusyn communities in Central and Eastern Europe, particularly in parts of Ukraine, Slovakia, Poland, and Serbia.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78072b8c81908b5ac3b231f04136 completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4b7c628819097fb933be59ecefe completed March 21, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:42 p.m.