Triple

T3740556
Position Surface form Disambiguated ID Type / Status
Subject System M E79686 entity
Predicate videoModulationType P17348 FINISHED
Object amplitude modulation (AM) with vestigial sideband 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: amplitude modulation (AM) with vestigial sideband | Statement: [System M, videoModulationType, amplitude modulation (AM) with vestigial sideband]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: videoModulationType
Context triple: [System M, videoModulationType, amplitude modulation (AM) with vestigial sideband]
  • A. videoModulation chosen
    Indicates a relationship where one entity alters or controls the characteristics of a video signal or stream, such as its amplitude, frequency, or encoding parameters.
  • B. usesModulation
    Indicates that one entity applies or employs a particular modulation method or scheme in relation to another entity or process.
  • C. videoQuality
    Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
  • D. videoOutput
    Indicates that one entity produces or provides video signals or content as output to another entity or medium.
  • E. audioModulation
    Indicates a relationship where one audio signal or parameter is used to vary or control another audio signal’s characteristics (such as amplitude, frequency, or timbre) over time.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb5344fc8190b183aca5c04e3bcc completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc048f28c819092bed16a95a3cac1 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.