Triple

T1638176
Position Surface form Disambiguated ID Type / Status
Subject Müller E35404 entity
Predicate hasStressPatternInGerman P4253 FINISHED
Object stressed on first syllable 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: stressed on first syllable | Statement: [Müller, hasStressPatternInGerman, stressed on first syllable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStressPatternInGerman
Context triple: [Müller, hasStressPatternInGerman, stressed on first syllable]
  • A. hasStressPattern chosen
    Indicates that an entity (such as a word or phrase) follows a particular arrangement of stressed and unstressed units (e.g., syllables) in its pronunciation.
  • B. hasSyllableStructure
    Indicates that an entity (typically a word or morpheme) possesses a particular arrangement or pattern of syllables.
  • C. hasSyllabicStructure
    Indicates that an entity possesses a specific arrangement or pattern of syllables, such as their number, order, or type.
  • 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. hasTitleInGerman
    Indicates that an entity has a specific title or name expressed in the German language.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a96083e7308190abbf025fe8e43abb completed March 5, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69a907cac610819083cafd4396b6d66c completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.