Triple

T1839955
Position Surface form Disambiguated ID Type / Status
Subject Basia E41152 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: [Basia, language, Polish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polish
Context triple: [Basia, language, 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03b3eb08190ae68d8476fc89c7f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9bb92a88190a00b102d3be0383c completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.