Triple

T4675670
Position Surface form Disambiguated ID Type / Status
Subject Alba Iulia E103673 entity
Predicate languageUsed P238 FINISHED
Object Hungarian 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 | Statement: [Alba Iulia, languageUsed, Hungarian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungarian
Context triple: [Alba Iulia, languageUsed, Hungarian]
  • 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. 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.
  • C. Hungarian Wikinews
    Hungarian Wikinews is the Hungarian-language edition of the Wikinews project, offering collaboratively written, free-content news articles.
  • D. Hungarian orthography
    Hungarian orthography is the standardized system of spelling and writing rules used for the Hungarian language.
  • E. Ungar
    Ungar is a surname of Germanic and Central European origin, historically associated with people from Hungary or of Hungarian descent.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63544f68819084311416402696b0 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039c4c58819099e93e01badbade5 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.