Triple

T23365989
Position Surface form Disambiguated ID Type / Status
Subject lesiba E593320 entity
Predicate acousticPrinciple P9532 FINISHED
Object changes in mouth cavity shape filter harmonics 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: changes in mouth cavity shape filter harmonics | Statement: [lesiba, acousticPrinciple, changes in mouth cavity shape filter harmonics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acousticPrinciple
Context triple: [lesiba, acousticPrinciple, changes in mouth cavity shape filter harmonics]
  • A. acousticProperty chosen
    Indicates the relationship between an entity and its sound-related characteristics, such as loudness, pitch, timbre, or other acoustic features.
  • B. hasAcousticsSuitableFor
    Indicates that something possesses acoustic properties that are appropriate or well-suited for a particular use, activity, or environment.
  • C. isAcoustic
    Indicates that something produces sound using natural resonance or mechanical vibration rather than electronic amplification or synthesis.
  • D. hasAcousticUse
    Indicates that something is used or functions in relation to sound or acoustics.
  • E. acousticalDesigner
    Indicates a relationship where one entity serves as the acoustical designer responsible for planning or shaping the sound characteristics of another entity (such as a space, product, or performance).
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0ac7494819082e98ac5632eba28 completed April 29, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69f061c7aaa48190a58ce93f87155ffc completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:31 p.m.