Triple

T1822169
Position Surface form Disambiguated ID Type / Status
Subject Paula E40562 entity
Predicate usedInLanguage P907 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: [Paula, usedInLanguage, Slovak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovak
Context triple: [Paula, usedInLanguage, 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. 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.
  • E. Surzhyk
    Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662b910c8190b1746730ee09015a completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6722f081908c5368a09d1507ac completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.