Triple
T5479805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5G NR |
E123441
|
entity |
| Predicate | frequencyRangeFR1 |
P27106
|
FINISHED |
| Object | 410 MHz to 7125 MHz |
—
|
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: 410 MHz to 7125 MHz | Statement: [5G NR, frequencyRangeFR1, 410 MHz to 7125 MHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyRangeFR1 Context triple: [5G NR, frequencyRangeFR1, 410 MHz to 7125 MHz]
-
A.
frequencyBand
Indicates the specific range of frequencies within which a signal, measurement, or phenomenon is defined or operates.
-
B.
frequencyRegion
chosen
Indicates that something is associated with, occurs within, or is characterized by a particular range or band of frequencies.
-
C.
hasCarrierFrequency
Indicates that an entity (such as a signal or transmission) is associated with a specific carrier frequency at which it is transmitted or modulated.
-
D.
supportsSingleFrequencyNetworks
Indicates that an entity enables or is compatible with operating in single frequency networks, where multiple transmitters use the same frequency to provide coordinated coverage.
-
E.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9248ca348190aa116cace0f9b07a |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.