Triple

T17600130
Position Surface form Disambiguated ID Type / Status
Subject Dáša E428673 entity
Predicate hasLanguage P15 FINISHED
Object Slovak NE NERFINISHED

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: [Dáša, hasLanguage, Slovak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovak
Context triple: [Dáša, hasLanguage, 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 Direct
    Slovak Direct is a renowned, highly technical alpine climbing route on the south face of Denali in Alaska, known for its difficulty and committing conditions.
  • D. 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.
  • E. Czech
    Czech refers to a West Slavic ethnic group native to the Czech Republic, historically associated with the region of Bohemia and the Czech language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4812d48190bf8e899fa8f7fbe4 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.