Triple

T1839974
Position Surface form Disambiguated ID Type / Status
Subject Basia E41152 entity
Predicate orthographicVariant P33995 FINISHED
Object Basia (with standard Polish spelling) 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: Basia (with standard Polish spelling) | Statement: [Basia, orthographicVariant, Basia (with standard Polish spelling)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orthographicVariant
Context triple: [Basia, orthographicVariant, Basia (with standard Polish spelling)]
  • A. orthographicProperty
    Indicates a relationship where a specific written or spelling-related characteristic is attributed to or associated with an entity.
  • B. hasOrthographicReform
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • C. usesStandardOrthographyOf
    Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
  • D. languageVariant
    Indicates that one language is a variant, dialect, or localized form of another language.
  • E. orthographicRole
    Indicates the functional role that a written form or spelling plays within an orthographic system (e.g., as a letter, diacritic, punctuation mark, or other script element).
  • F. None of above. chosen

Provenance (4 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafd88ebc81908208394746351fe6 completed March 7, 2026, 4:55 a.m.
PDg Predicate description generation batch_69abb32a8d548190a231c7c2ce276a5e completed March 7, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:33 p.m.