Triple
T23487229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE microwave band designations |
E570566
|
entity |
| Predicate | coversApproximateFrequencyRange |
P53436
|
FINISHED |
| Object | 1 GHz to 300 GHz |
—
|
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: 1 GHz to 300 GHz | Statement: [IEEE microwave band designations, coversApproximateFrequencyRange, 1 GHz to 300 GHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversApproximateFrequencyRange Context triple: [IEEE microwave band designations, coversApproximateFrequencyRange, 1 GHz to 300 GHz]
-
A.
hasFrequencyCoverage
chosen
Indicates that one entity provides, supports, or is applicable across a specified range or set of frequencies associated with another entity.
-
B.
approximateWavelengthRange
Indicates the range of wavelengths that approximately characterizes or bounds the phenomenon, object, or interaction in question.
-
C.
hasFrequencyCategory
Indicates that something is associated with a particular classification of how often it occurs or is used.
-
D.
soundFrequencyRange
Indicates the range of sound frequencies within which the related entity operates, is effective, or is characterized.
-
E.
numberOfFrequencyBands
Indicates the relationship specifying how many distinct frequency bands are associated with or used by an 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a754825481909b005ca5654c3159 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:04 p.m.