Triple

T35871168
Position Surface form Disambiguated ID Type / Status
Subject Rabia (in some translations) E1037226 entity
Predicate isTranslationVariantOf P184453 FINISHED
Object "Sinekli Bakkal" title NE NERFINISHED

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: "Sinekli Bakkal" title | Statement: [Rabia (in some translations), isTranslationVariantOf, "Sinekli Bakkal" title]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTranslationVariantOf
Context triple: [Rabia (in some translations), isTranslationVariantOf, "Sinekli Bakkal" title]
  • A. languageVariant
    Indicates that one language is a variant, dialect, or localized form of another language.
  • 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. usesLocalLanguageVariant
    Indicates that an entity employs a region-specific or localized form of a language rather than a standard or global variant.
  • E. languageVariants
    Indicates that one language form is a variant or alternative version of another language.
  • 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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b35e32d481909ef0220e6f6ff4a8 completed May 3, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69f7b1bad2e88190963ab4ee5d4f2038 completed May 3, 2026, 8:36 p.m.
PDg Predicate description generation batch_69f7b2c66054819083897e25edb65ba7 completed May 3, 2026, 8:40 p.m.
Created at: May 3, 2026, 4:06 p.m.