Triple

T2426558
Position Surface form Disambiguated ID Type / Status
Subject Leonard E53541 entity
Predicate usedInLanguage P907 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: [Leonard, usedInLanguage, Polish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polish
Context triple: [Leonard, usedInLanguage, Polish]
  • A. 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.
  • B. Polish Wikiquote
    Polish Wikiquote is the Polish-language edition of Wikiquote, a free online collection of sourced quotations, proverbs, and sayings.
  • C. .pl
    .pl is the country code top-level domain (ccTLD) assigned to websites associated with Poland.
  • D. Polish Wikinews
    Polish Wikinews is the Polish-language edition of the Wikinews project, a collaborative, free-content news source written and maintained by volunteers.
  • E. Polish Manchester
    Polish Manchester is a nickname for the Polish city of Łódź, highlighting its historical role as a major textile and industrial center comparable to Manchester in England.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.