Triple

T714874
Position Surface form Disambiguated ID Type / Status
Subject Achterhooks E14290 entity
Predicate hasVowelFeature P18452 FINISHED
Object diphthongization patterns distinct from Standard Dutch 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: diphthongization patterns distinct from Standard Dutch | Statement: [Achterhooks, hasVowelFeature, diphthongization patterns distinct from Standard Dutch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVowelFeature
Context triple: [Achterhooks, hasVowelFeature, diphthongization patterns distinct from Standard Dutch]
  • A. hasVowelNotationSystem
    Indicates that a writing or transcription system for a language includes a method for explicitly representing vowel sounds.
  • B. hasVowelLengthContrast
    Indicates that a language distinguishes word meanings based on differences in the length (duration) of vowel sounds.
  • C. hasNasalVowels
    Indicates that the subject language or phonological system includes vowels that are produced with nasal airflow (nasalized vowels).
  • 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. containsVowelLetters
    Indicates that the subject includes one or more vowel letters within its sequence of characters.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5738e04819082eac673b3b7c4c2 completed March 1, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69a4a4f38898819089d79bad4f4ff2d2 completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a57267c481909790a1fda3fced08 completed March 1, 2026, 8:45 p.m.
Created at: March 1, 2026, 7:36 p.m.