Triple

T15749243
Position Surface form Disambiguated ID Type / Status
Subject Sękowa E381803 entity
Predicate languageUsed P238 FINISHED
Object Polish language 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 language | Statement: [Sękowa, languageUsed, Polish language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polish language
Context triple: [Sękowa, languageUsed, Polish language]
  • 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
    Polish refers to the West Slavic ethnic group and nation primarily associated with Poland, its language, and its cultural heritage.
  • C. Kashubian language
    Kashubian language is a West Slavic language spoken primarily in northern Poland by the Kashubian ethnic group, recognized as a regional language with its own distinct grammar, vocabulary, and literary tradition.
  • D. Silesian language
    The Silesian language is a West Slavic language or dialect spoken primarily in the Silesia region of Poland and neighboring areas, characterized by features transitional between Polish, Czech, and German influences.
  • E. CZ-PL
    CZ-PL is the ISO 3166-2 subdivision code assigned to the Plzeň Region of the Czech Republic.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff830b85408190b9ae4d6752524b99 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.