Triple

T11952870
Position Surface form Disambiguated ID Type / Status
Subject Szolnok E284469 entity
Predicate officialLanguage P236 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: [Szolnok, officialLanguage, Hungarian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungarian
Context triple: [Szolnok, officialLanguage, Hungarian]
  • A. Hungarian
    Hungarian refers to a member of the ethnic group native to Hungary, characterized by the Hungarian language and a shared Central European cultural and historical heritage.
  • B. 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.
  • C. 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.
  • D. Hungarian Wikisource
    Hungarian Wikisource is the Hungarian-language edition of Wikisource, a free online library of source texts and public domain works.
  • E. Hungarian Wikiquote
    Hungarian Wikiquote is the Hungarian-language edition of Wikiquote, a free online collection of sourced quotations from notable people, works, and themes.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4590584608190bc00840c43f115a0 completed May 1, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:45 p.m.