Triple

T793890
Position Surface form Disambiguated ID Type / Status
Subject Church Slavonic E16974 entity
Predicate hasVariant P455 FINISHED
Object Czech Church Slavonic E16974 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 Church Slavonic | Statement: [Church Slavonic, hasVariant, Czech Church Slavonic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czech Church Slavonic
Context triple: [Church Slavonic, hasVariant, Czech Church Slavonic]
  • A. Church Slavonic chosen
    Church Slavonic is a historical Slavic liturgical language used primarily in Eastern Orthodox Christian worship and religious texts across Slavic-speaking regions.
  • B. Czech language
    Czech language is a West Slavic language spoken primarily in the Czech Republic and known for its rich literary tradition and complex grammar.
  • C. Slovak language
    The Slovak language is a West Slavic language spoken primarily in Slovakia and closely related to Czech and Polish.
  • D. Common Slavic
    Common Slavic is the reconstructed ancestral language from which all modern Slavic languages are derived.
  • E. 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).
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79b976c819085cd381bbd597ca5 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3afbb0c8190b4e7aa7824c8b787 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:38 p.m.