Triple

T2370690
Position Surface form Disambiguated ID Type / Status
Subject function generator E46082 entity
Predicate hasFrequencyRange P27293 FINISHED
Object from millihertz to several megahertz (typical) 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: from millihertz to several megahertz (typical) | Statement: [function generator, hasFrequencyRange, from millihertz to several megahertz (typical)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFrequencyRange
Context triple: [function generator, hasFrequencyRange, from millihertz to several megahertz (typical)]
  • A. hasFrequencyCategory
    Indicates that something is associated with a particular classification of how often it occurs or is used.
  • B. hasRange chosen
    Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
  • C. hasFrequencyNote
    Indicates that something is associated with a specific note describing how often it occurs or is repeated.
  • D. hasCarrierFrequency
    Indicates that an entity (such as a signal or transmission) is associated with a specific carrier frequency at which it is transmitted or modulated.
  • E. usesFrequency
    Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76f5aec8190867d621e6849258c completed March 7, 2026, 6:36 a.m.
PD Predicate disambiguation batch_69abc59b88348190a2d6c08f69974117 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:56 p.m.