Triple
T21066509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debye relaxation |
E518986
|
entity |
| Predicate | frequencyDomainBehavior |
P142713
|
FINISHED |
| Object | low-frequency permittivity approaches epsilon_s |
—
|
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: low-frequency permittivity approaches epsilon_s | Statement: [Debye relaxation, frequencyDomainBehavior, low-frequency permittivity approaches epsilon_s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyDomainBehavior Context triple: [Debye relaxation, frequencyDomainBehavior, low-frequency permittivity approaches epsilon_s]
-
A.
frequencyDependsOn
Indicates that the frequency of one event, action, or state is determined or influenced by another factor or condition.
-
B.
frequencyRegion
Indicates that something is associated with, occurs within, or is characterized by a particular range or band of frequencies.
-
C.
frequencyShiftProperty
Indicates a relationship where one entity specifies or characterizes the amount or nature of a change in frequency experienced by another entity or signal.
-
D.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
E.
frequencyConversion
Indicates a transformation that converts a value or signal from one frequency to another.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:45 p.m.