Triple
T3575926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexanderson alternator |
E75687
|
entity |
| Predicate | signalGenerationMethod |
P49800
|
FINISHED |
| Object | mechanical alternation of magnetic fields |
—
|
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: mechanical alternation of magnetic fields | Statement: [Alexanderson alternator, signalGenerationMethod, mechanical alternation of magnetic fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signalGenerationMethod Context triple: [Alexanderson alternator, signalGenerationMethod, mechanical alternation of magnetic fields]
-
A.
signalType
Indicates the specific kind or category of signal associated with or used by an entity or interaction.
-
B.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
C.
tuningMethod
Indicates the method or approach used to adjust or optimize something’s parameters or performance.
-
D.
sequencerType
Indicates the specific kind or category of sequencer associated with or used in relation to an entity.
-
E.
signalOrigin
Indicates that one entity is the source or starting point from which a signal is generated or transmitted to others.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0da77008190922f414b85b9cad4 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:21 p.m.