Triple

T6825453
Position Surface form Disambiguated ID Type / Status
Subject Kajkavian dialect E157002 entity
Predicate influencedBy P9 FINISHED
Object Hungarian language E15030 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: Hungarian language | Statement: [Kajkavian dialect, influencedBy, Hungarian language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungarian language
Context triple: [Kajkavian dialect, influencedBy, Hungarian language]
  • A. Hungarian language chosen
    The Hungarian language is a Uralic language spoken primarily in Hungary, known for its agglutinative grammar, extensive case system, and vocabulary distinct from most other European languages.
  • B. Slovak language
    The Slovak language is a West Slavic language spoken primarily in Slovakia and closely related to Czech and Polish.
  • C. Hungarians
    Hungarians are a Uralic-speaking ethnic group native primarily to Hungary and the Carpathian Basin, known for their distinct language, culture, and historical kingdom in Central Europe.
  • D. Hungarian orthography
    Hungarian orthography is the standardized system of spelling and writing rules used for the Hungarian language.
  • E. Romani language
    The Romani language is an Indo-Aryan language traditionally spoken by Romani communities across Europe and beyond, featuring numerous dialects influenced by the languages of the regions where its speakers live.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d581ea5881908ba78c6bf1ce58ee completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f12a148190adbb05782a2041b6 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.