Triple
T2979651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | µA741 |
E80479
|
entity |
| Predicate | hasInputOffsetVoltageMax |
P44391
|
FINISHED |
| Object | 6 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: 6 mV | Statement: [µA741, hasInputOffsetVoltageMax, 6 mV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInputOffsetVoltageMax Context triple: [µA741, hasInputOffsetVoltageMax, 6 mV]
-
A.
maxVoltage
Indicates the maximum electrical potential (voltage) that an entity can safely or normally handle, provide, or operate at.
-
B.
supportsMaximumVoltage
Indicates that an entity is capable of safely operating at or up to a specified maximum voltage level.
-
C.
hasOutputImpedance
Indicates that an entity (such as a device or component) exhibits a specific impedance at its output terminals.
-
D.
hasMaximumEfficiencyAt
Indicates that an entity reaches or exhibits its highest possible efficiency under a specified condition, context, or parameter value.
-
E.
hasMaximumValue
Indicates that one value in a set is the greatest or highest possible according to a specified criterion.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999cca40819082e2d6d10bdb7872 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:58 p.m.