Triple

T8472817
Position Surface form Disambiguated ID Type / Status
Subject Yamaha YM2612 E200317 entity
Predicate hasLFO P23647 FINISHED
Object yes 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: yes | Statement: [Yamaha YM2612, hasLFO, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLFO
Context triple: [Yamaha YM2612, hasLFO, yes]
  • A. hasLFEChannels
    Indicates that an entity includes or is associated with one or more Low-Frequency Effects (LFE) audio channels.
  • B. usesHarmonics
    Indicates that one entity employs harmonic frequencies or overtones of another entity or signal as part of its operation or behavior.
  • C. usesModulation chosen
    Indicates that one entity applies or employs a particular modulation method or scheme in relation to another entity or process.
  • D. hasFrequencyNote
    Indicates that something is associated with a specific note describing how often it occurs or is repeated.
  • E. hasInternalFrequencyCompensation
    Indicates that an electronic component or circuit includes built-in circuitry to stabilize its frequency response without requiring external compensation components.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f4fbf481909e4fd7c078b27477 completed March 31, 2026, 3:15 p.m.
PD Predicate disambiguation batch_69cbd104250c8190b4c499dcc9937494 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:11 p.m.