Triple

T35662577
Position Surface form Disambiguated ID Type / Status
Subject LM101 operational amplifier E1030475 entity
Predicate hasInputBiasCurrent P44392 FINISHED
Object on the order of tens of nA 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: on the order of tens of nA | Statement: [LM101 operational amplifier, hasInputBiasCurrent, on the order of tens of nA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInputBiasCurrent
Context triple: [LM101 operational amplifier, hasInputBiasCurrent, on the order of tens of nA]
  • A. hasInputBiasCurrentTypical chosen
    Indicates that an entity (such as a device or component) has a specified typical value for its input bias current.
  • B. hasInputOffsetVoltageTypical
    Indicates the typical (average or nominal) value of the input offset voltage associated with a device or component in this relationship.
  • C. requiresBiasVoltage
    Indicates that one entity must have a specific bias voltage applied in order for the other entity or process to operate correctly or as intended.
  • D. hasInputImpedanceTypical
    Indicates that something is characterized by a typical or standard value of input impedance in a given context.
  • E. hasOutputImpedance
    Indicates that an entity (such as a device or component) exhibits a specific impedance at its output terminals.
  • 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_69f76e09f87881909c954aaac176c34f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a0076c0a5c4819088b17b95511b93ed completed May 10, 2026, 12:14 p.m.
PD Predicate disambiguation batch_6a007638a67c81909c091335142260ab completed May 10, 2026, 12:12 p.m.
Created at: May 3, 2026, 4:05 p.m.