Triple
T12417308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norton equivalent circuit |
E296669
|
entity |
| Predicate | conversionFromThevenin |
P39633
|
FINISHED |
| Object | IN = VTH / RTH |
—
|
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: IN = VTH / RTH | Statement: [Norton equivalent circuit, conversionFromThevenin, IN = VTH / RTH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionFromThevenin Context triple: [Norton equivalent circuit, conversionFromThevenin, IN = VTH / RTH]
-
A.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
B.
conversionProcess
chosen
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
-
C.
conversionWave
Indicates a process in which changes or transformations spread through entities or states in a sequential, wave-like manner.
-
D.
powerConversionMethod
Indicates the method or process by which one form of power or energy is converted into another.
-
E.
convertedFor
Indicates that one entity has been transformed, adapted, or reformatted specifically for use, compatibility, or suitability with another entity.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.