Triple

T7343072
Position Surface form Disambiguated ID Type / Status
Subject Silvia E169305 entity
Predicate hasLanguageOfUse P207 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: [Silvia, hasLanguageOfUse, Polish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polish
Context triple: [Silvia, hasLanguageOfUse, 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 Wikiquote
    Polish Wikiquote is the Polish-language edition of Wikiquote, a free online collection of sourced quotations, proverbs, and sayings.
  • E. .pl
    .pl is the country code top-level domain (ccTLD) assigned to websites associated with Poland.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0db2db8819088c4bed5d65571f6 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa8a2a908190886e11a7d8df6c5e completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:04 p.m.