Triple

T10408632
Position Surface form Disambiguated ID Type / Status
Subject Leona E245330 entity
Predicate hasLanguageOfUse P207 FINISHED
Object Slovak E63000 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: Slovak | Statement: [Leona, hasLanguageOfUse, Slovak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovak
Context triple: [Leona, hasLanguageOfUse, Slovak]
  • A. Slovak language chosen
    The Slovak language is a West Slavic language spoken primarily in Slovakia and closely related to Czech and Polish.
  • B. Slovaks
    Slovaks are a West Slavic ethnic group primarily associated with Slovakia, sharing linguistic and cultural ties with neighboring Slavic peoples.
  • C. Slovak American
    Slovak Americans are U.S. residents and citizens of Slovak ancestry, many of whose families immigrated from present-day Slovakia and contributed to American cultural, industrial, and artistic life.
  • D. Hungarian-Slovak
    Hungarian-Slovak refers to a person or heritage connected to both Hungary and Slovakia, reflecting a mixed Central European national and cultural background.
  • E. Slovak Sign Language
    Slovak Sign Language is the primary visual-gestural language used by the Deaf community in Slovakia, belonging to the French Sign Language family.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9faa97c819092cadedadabe26bf completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbf1c428819099ca359309c4c836 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:09 p.m.