Triple
T1651076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bode plot |
E35692
|
entity |
| Predicate | typicalFrequencyUnit |
P30901
|
FINISHED |
| Object | radians per second |
—
|
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: radians per second | Statement: [Bode plot, typicalFrequencyUnit, radians per second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFrequencyUnit Context triple: [Bode plot, typicalFrequencyUnit, radians per second]
-
A.
timeUnitOfFrequency
Indicates the unit of time (e.g., day, week, month) in which a given frequency is measured or expressed.
-
B.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
C.
usesFrequency
Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences over time.
-
D.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
E.
frequencyDependsOn
Indicates that the frequency of one event, action, or state is determined or influenced by another factor or condition.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a949509d508190a3a35554996823de |
completed | March 5, 2026, 9:13 a.m. |
Created at: March 4, 2026, 7:29 p.m.