Triple

T20500361
Position Surface form Disambiguated ID Type / Status
Subject Galar E503282 entity
Predicate hasRegionalVariants P32680 FINISHED
Object Galarian forms 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: Galarian forms | Statement: [Galar, hasRegionalVariants, Galarian forms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRegionalVariants
Context triple: [Galar, hasRegionalVariants, Galarian forms]
  • A. hasRegionalVariationsIn chosen
    Indicates that something exhibits different forms, versions, or characteristics depending on the geographic region.
  • B. regionalVariantOf
    Indicates that one entity is a version or form of another that is specific to a particular geographic region or locale.
  • C. linguisticVariant
    Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
  • D. languageVariants
    Indicates that one language form is a variant or alternative version of another language.
  • E. languageVariant
    Indicates that one language is a variant, dialect, or localized form of another language.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc10cd08190915b6c29c6473f77 completed April 20, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69e59fcdf6e08190a604204615dc56e6 completed April 20, 2026, 3:38 a.m.
Created at: April 16, 2026, 11:35 a.m.