Triple

T31818853
Position Surface form Disambiguated ID Type / Status
Subject Wien bridge oscillator E812208 entity
Predicate typicalDistortionLevel P207526 FINISHED
Object low harmonic distortion 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: low harmonic distortion | Statement: [Wien bridge oscillator, typicalDistortionLevel, low harmonic distortion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalDistortionLevel
Context triple: [Wien bridge oscillator, typicalDistortionLevel, low harmonic distortion]
  • A. typicalDifficulty
    Indicates the usual or characteristic level of difficulty associated with performing an action or achieving a particular outcome.
  • B. typicalDynamicLevel
    Indicates the usual or characteristic intensity or volume level at which an action, event, or interaction typically occurs.
  • C. typicalPerformanceSetting
    Indicates the usual or most common context, venue, or environment in which a performance or activity typically takes place.
  • D. typicalEquipmentLevel
    Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
  • E. typicalGainType
    Indicates the usual or characteristic type of gain associated with an entity, such as the standard way value or profit is typically obtained.
  • F. None of above. chosen

Provenance (4 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_69f348e97fa48190aa06286962af6dee completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e7aa0c8190bdc9ee4d54fc821b completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c7ee0388190a29faeb5cdb0950a completed May 12, 2026, 7:16 p.m.
Created at: April 30, 2026, 11:45 p.m.