Triple

T11912394
Position Surface form Disambiguated ID Type / Status
Subject Standard German phonology E283425 entity
Predicate hasIntonationFeature P62940 FINISHED
Object declaratives typically with falling pitch 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: declaratives typically with falling pitch | Statement: [Standard German phonology, hasIntonationFeature, declaratives typically with falling pitch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIntonationFeature
Context triple: [Standard German phonology, hasIntonationFeature, declaratives typically with falling pitch]
  • A. hasPhonemicTone
    Indicates that a language, word, or syllable uses pitch differences (tones) as phonemic contrasts that can change meaning.
  • B. hasProsodicType chosen
    Indicates that one entity is characterized by a particular prosodic pattern or category (such as stress, intonation, or rhythm type) in relation to another.
  • C. hasVowelFeature
    Indicates that an entity possesses a specific vowel-related phonological or articulatory feature.
  • D. hasVerbalFeature
    Indicates that an entity possesses a specific verbal property, characteristic, or behavior related to speech or language.
  • E. hasTonalityShift
    Indicates a change in the tonal quality, mood, or key within a piece or segment, marking a shift from one tonality to another.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e528f6748190ac873a040a61fa93 completed April 10, 2026, 11:55 a.m.
PD Predicate disambiguation batch_69d8bb3632ac8190b13e53c2b5db7125 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.