Triple
T6042304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NG-PON2 |
E134575
|
entity |
| Predicate | supportsDownstreamRate |
P48289
|
FINISHED |
| Object | up to 40 Gbit/s across multiple wavelengths |
—
|
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: up to 40 Gbit/s across multiple wavelengths | Statement: [NG-PON2, supportsDownstreamRate, up to 40 Gbit/s across multiple wavelengths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDownstreamRate Context triple: [NG-PON2, supportsDownstreamRate, up to 40 Gbit/s across multiple wavelengths]
-
A.
supportsRateLimiting
Indicates that one entity provides or is compatible with mechanisms to restrict the rate at which another entity can perform actions or process requests.
-
B.
supportsBandwidths
chosen
Indicates that an entity is compatible with or can operate using the specified range or set of bandwidth values.
-
C.
supportsCodeRates
Indicates that one entity is capable of handling, processing, or operating at the specific code rates associated with another entity.
-
D.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
E.
providesFloodControlFor
Indicates that one entity offers protection or mitigation against flooding for another entity or area.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e108fc81908775d176ff960fad |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.