Triple

T21137462
Position Surface form Disambiguated ID Type / Status
Subject Newa E520848 entity
Predicate supportsDependentVowels P16504 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: [Newa, supportsDependentVowels, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsDependentVowels
Context triple: [Newa, supportsDependentVowels, true]
  • A. hasDependentVowels chosen
    Indicates that a writing system or script uses vowel signs that are attached to or depend on consonant characters rather than standing alone as independent letters.
  • B. supportsConjunctConsonants
    Indicates that a writing system or orthographic convention allows the formation and use of conjunct consonant clusters (combined consonant characters).
  • C. hasIndependentVowelLetters
    Indicates that a writing system includes separate, standalone vowel characters rather than representing vowels only through modifications of consonant letters.
  • D. 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.
  • E. hasVowelFeature
    Indicates that an entity possesses a specific vowel-related phonological or articulatory feature.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235b89188190a6209c0a1839ee03 completed April 21, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69e5f5ed6c8c8190b31092a5d4c3de5d completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 2:57 p.m.