Triple

T6755792
Position Surface form Disambiguated ID Type / Status
Subject Fortepiano E154453 entity
Predicate hasSoundQuality P48651 FINISHED
Object Clear attack 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: Clear attack | Statement: [Fortepiano, hasSoundQuality, Clear attack]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSoundQuality
Context triple: [Fortepiano, hasSoundQuality, Clear attack]
  • A. supportsAudioQuality
    Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
  • B. hasSound
    Indicates that an entity produces, emits, or is associated with a particular sound.
  • C. hasSoundSystem
    Indicates that an entity is equipped with or includes a sound system as one of its features.
  • D. hasNoisePerformance
    Indicates the degree to which one entity’s operation or behavior produces or is characterized by a certain level or quality of noise.
  • E. hasAudioFeature chosen
    Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d327e37081909d576e6eff9eec97 completed March 27, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69c6d09227108190b253b91967831a85 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:11 p.m.