Triple
T35662578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LM101 operational amplifier |
E1030475
|
entity |
| Predicate | hasInputOffsetVoltage |
P44390
|
FINISHED |
| Object | on the order of a few mV |
—
|
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 a few mV | Statement: [LM101 operational amplifier, hasInputOffsetVoltage, on the order of a few mV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInputOffsetVoltage Context triple: [LM101 operational amplifier, hasInputOffsetVoltage, on the order of a few mV]
-
A.
hasInputOffsetVoltageTypical
chosen
Indicates the typical (average or nominal) value of the input offset voltage associated with a device or component in this relationship.
-
B.
hasInputOffsetVoltageMax
Indicates the maximum allowable input offset voltage present between the inputs of a device under specified conditions.
-
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.
voltageInput
Indicates that an entity serves as or provides an electrical voltage supplied to another entity or system.
-
E.
hasInputBiasCurrentTypical
Indicates that an entity (such as a device or component) has a specified typical value for its input bias current.
- 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_6a00776c4ebc8190899005fda34234d5 |
completed | May 10, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_6a0076f8a4c4819093ed577e67aa38f9 |
completed | May 10, 2026, 12:15 p.m. |
Created at: May 3, 2026, 4:05 p.m.