Triple

T8602848
Position Surface form Disambiguated ID Type / Status
Subject Yamaha YM2151 E203720 entity
Predicate hasOperatorCountPerChannel P82802 FINISHED
Object 4 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: 4 | Statement: [Yamaha YM2151, hasOperatorCountPerChannel, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOperatorCountPerChannel
Context triple: [Yamaha YM2151, hasOperatorCountPerChannel, 4]
  • A. hasOperatorPerChannelCount chosen
    Indicates that each channel in a system or context is associated with a specific number of operators assigned to it.
  • B. hasChannelCount
    Indicates that an entity is associated with a specific number of channels.
  • C. numberOfFullRangeChannels
    Indicates the total count of channels that operate over the complete available range of values or frequencies.
  • D. numberOfAdditionalChannels
    Indicates the quantity of extra channels added beyond a base or default set in a given context.
  • E. hasFullBandwidthChannels
    Indicates that the subject possesses communication channels that operate at the maximum or designated full data transmission capacity.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46dc23448190a5eb63455578427e completed March 31, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69cc454eb2908190acf0e4336bc67e7b completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:24 p.m.