Triple

T2893144
Position Surface form Disambiguated ID Type / Status
Subject Sorbian languages E63873 entity
Predicate relatedTo P37 FINISHED
Object Czech language E73024 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: Czech language | Statement: [Sorbian languages, relatedTo, Czech language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czech language
Context triple: [Sorbian languages, relatedTo, Czech language]
  • A. Czech language chosen
    Czech language is a West Slavic language spoken primarily in the Czech Republic and known for its rich literary tradition and complex grammar.
  • B. Slovak language
    The Slovak language is a West Slavic language spoken primarily in Slovakia and closely related to Czech and Polish.
  • C. Czech American
    A Czech American is a United States citizen or resident of Czech ancestry, reflecting cultural roots in the Czech Republic (formerly part of Czechoslovakia).
  • D. Czechs
    Czechs are a West Slavic ethnic group native primarily to the Czech Republic, known for their distinct language, culture, and historical presence in Central Europe.
  • E. 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.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe062234c81909411e34db7d2683d completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108cc4870819081e68032517468a8 completed March 11, 2026, 6:16 a.m.
Created at: March 6, 2026, 10:07 p.m.