Triple

T27542026
Position Surface form Disambiguated ID Type / Status
Subject 客家话 E695260 entity
Predicate 语音特征 P29850 FINISHED
Object 部分方言保留浊塞音痕迹 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: 部分方言保留浊塞音痕迹 | Statement: [客家话, 语音特征, 部分方言保留浊塞音痕迹]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 语音特征
Context triple: [客家话, 语音特征, 部分方言保留浊塞音痕迹]
  • A. speakerFeatures
    Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
  • B. vocalizationCharacteristic chosen
    Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
  • C. voiceAppearance
    Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
  • D. featuresVocal
    Indicates that one entity includes or presents the vocal performance or voice of another entity.
  • E. voiceTexture
    Indicates the characteristic quality or timbre of a voice as perceived in sound.
  • 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_69ef5386c3e08190bfe33aa326e1f72b completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6359e3d3c81909814e2f0a7fb0ea9 completed May 2, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f631871c888190bf29466fe4254e51 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 1:31 p.m.