Triple

T35593461
Position Surface form Disambiguated ID Type / Status
Subject Turkish E1028562 entity
Predicate hasPalatalHarmony P201172 FINISHED
Object true 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: true | Statement: [Turkish, hasPalatalHarmony, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPalatalHarmony
Context triple: [Turkish, hasPalatalHarmony, true]
  • A. hasNasalHarmony
    Indicates that a phonological process causes nasality in one segment to spread to or be shared with other segments within a word or domain.
  • B. hasConsonantHarmony
    Indicates that the entities are related by a pattern where consonants within a linguistic unit adjust to share similar features, creating consonant harmony.
  • C. hasVowelHarmony
    Indicates that the phonological vowels in a word or morpheme conform to a systematic harmony pattern (e.g., all front or all back vowels) according to the language’s vowel harmony rules.
  • D. hasDistinctLettersForPalatalConsonants
    Indicates that a writing system uses separate, dedicated letters (not just diacritics or digraphs) specifically to represent palatal consonant sounds.
  • E. hasPalatalizationContrast
    Indicates that a language distinguishes meaning between sounds based on whether or not they are palatalized, treating palatalization as a contrastive phonological feature.
  • 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_69f76e0598dc8190a6a093e904b9aa70 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffcf46fd688190907fd1ceb499a8d1 completed May 10, 2026, 12:20 a.m.
PD Predicate disambiguation batch_69ffccde2a8c81908e055e74077dbd19 completed May 10, 2026, 12:10 a.m.
PDg Predicate description generation batch_69ffcf4631cc8190aefa4b8f0b940b89 completed May 10, 2026, 12:20 a.m.
Created at: May 3, 2026, 4:05 p.m.