Triple
T7325425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z-Wave |
E168859
|
entity |
| Predicate | regionDependentFrequency |
P13344
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Z-Wave, regionDependentFrequency, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionDependentFrequency Context triple: [Z-Wave, regionDependentFrequency, Yes]
-
A.
frequencyRegion
Indicates that something is associated with, occurs within, or is characterized by a particular range or band of frequencies.
-
B.
frequencyDependsOn
chosen
Indicates that the frequency of one event, action, or state is determined or influenced by another factor or condition.
-
C.
frequencyInUS
Indicates how often something occurs, appears, or is used within the United States.
-
D.
regionNumber
Indicates that an entity is assigned to or associated with a specific numbered region within a larger spatial or organizational division.
-
E.
regionException
Indicates an exception or exclusion to a rule, condition, or classification that applies specifically to a certain region or set of regions.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f04993408190b73fb46d83a632d5 |
completed | March 27, 2026, 9:02 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:03 p.m.