Triple

T9045621
Position Surface form Disambiguated ID Type / Status
Subject George E216747 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: [George, hasLanguageOfUse, Slovak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovak
Context triple: [George, 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. 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.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebada5948190add8813ba547647f completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.