Triple

T14424237
Position Surface form Disambiguated ID Type / Status
Subject Macedonian Cyrillic alphabet E357653 entity
Predicate hasUniqueLetterForSound P114215 FINISHED
Object Ѓ 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: Ѓ | Statement: [Macedonian Cyrillic alphabet, hasUniqueLetterForSound, Ѓ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUniqueLetterForSound
Context triple: [Macedonian Cyrillic alphabet, hasUniqueLetterForSound, Ѓ]
  • A. hasDistinctLettersForAffricates
    Indicates that a writing system uses separate, dedicated letters (not letter combinations or diacritics) to represent affricate consonant sounds.
  • B. hasDistinctLettersFor
    Indicates that one entity is associated with another such that the letters used in the first are all different from (i.e., share no letters with) those used in the second.
  • C. hasPhonologicalBasisFor
    Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
  • D. hasDistinctLetterForms
    Indicates that the related writing system or symbol set uses different visual shapes or styles for the same letter in different contexts (such as position, case, or usage).
  • E. hasOwnPhonology
    Indicates that an entity possesses its own distinct phonological system or set of sound patterns, separate from those of other entities.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91123f848190ba3fb18a76c2d24c completed April 14, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69de5c30467881908e770e3940295641 completed April 14, 2026, 3:24 p.m.
PDg Predicate description generation batch_69de5fb4de14819092acdecbd201d672 completed April 14, 2026, 3:39 p.m.
Created at: April 10, 2026, 1:18 a.m.