Triple
T7723727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyquist plot |
E175076
|
entity |
| Predicate | oftenAssumes |
P50642
|
FINISHED |
| Object | steady-state sinusoidal input |
—
|
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: steady-state sinusoidal input | Statement: [Nyquist plot, oftenAssumes, steady-state sinusoidal input]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenAssumes Context triple: [Nyquist plot, oftenAssumes, steady-state sinusoidal input]
-
A.
typicalAssumption
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
-
B.
assumes
Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
-
C.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
-
D.
assumedRuleOf
Indicates that one entity is presumed or taken to hold authoritative control, governance, or dominion over another entity, typically without definitive confirmation.
-
E.
isAssumedIn
chosen
Indicates that something is taken for granted or presumed to hold within a particular context, without requiring explicit proof or verification.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:05 p.m.