Triple

T16702883
Position Surface form Disambiguated ID Type / Status
Subject Common Voice dataset E405893 entity
Predicate hasLanguage P15 FINISHED
Object Polish E3589 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: Polish | Statement: [Common Voice dataset, hasLanguage, Polish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polish
Context triple: [Common Voice dataset, hasLanguage, Polish]
  • A. Polish
    Polish refers to the West Slavic ethnic group and nation primarily associated with Poland, its language, and its cultural heritage.
  • B. Polish language chosen
    Polish language is a West Slavic language spoken primarily in Poland and by Polish communities worldwide, written in the Latin alphabet with distinctive diacritics.
  • C. CZ-PL
    CZ-PL is the ISO 3166-2 subdivision code assigned to the Plzeň Region of the Czech Republic.
  • D. Polish Wikipedia
    Polish Wikipedia is the Polish-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
  • E. Polish Wikiquote
    Polish Wikiquote is the Polish-language edition of Wikiquote, a free online collection of sourced quotations, proverbs, and sayings.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38333a6908190a17d2dee2ca622d6 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.