Triple

T15698168
Position Surface form Disambiguated ID Type / Status
Subject Oksywie E380517 entity
Predicate language 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: [Oksywie, language, Polish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polish
Context triple: [Oksywie, language, 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6c3328819081325b702ca92862 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7571f1888190b83af75ec9c7432b completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:44 a.m.