Triple

T13846433
Position Surface form Disambiguated ID Type / Status
Subject Hron River E332816 entity
Predicate nameVariantLanguage P63334 FINISHED
Object Hungarian LITERAL 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: [Hron River, nameVariantLanguage, Hungarian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nameVariantLanguage
Context triple: [Hron River, nameVariantLanguage, Hungarian]
  • A. alternateLanguageName chosen
    Indicates that an entity has an additional name or label in a different language from its primary or default name.
  • B. linguisticVariant
    Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
  • C. languageVariant
    Indicates that one language is a variant, dialect, or localized form of another language.
  • D. officialLanguageVariant
    Indicates that one language variety is an officially recognized form or version of another language within a specific jurisdiction or context.
  • E. hasEthnonymVariant
    Indicates that one ethnonym is an alternative or variant form of another ethnonym referring to the same ethnic group.
  • F. None of above.

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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
PD Predicate disambiguation batch_69dbc8691b608190a25a7c70a366b170 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:13 p.m.