Triple
T5167667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HDR200 |
E116597
|
entity |
| Predicate | bandwidthClass |
P61903
|
FINISHED |
| Object | 200 Gbit/s class |
—
|
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: 200 Gbit/s class | Statement: [HDR200, bandwidthClass, 200 Gbit/s class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bandwidthClass Context triple: [HDR200, bandwidthClass, 200 Gbit/s class]
-
A.
supportsBandwidths
Indicates that an entity is compatible with or can operate using the specified range or set of bandwidth values.
-
B.
hasGainBandwidthProductTypical
Indicates that an entity has a specified typical value for its gain–bandwidth product, describing the standard frequency–gain performance characteristic.
-
C.
lowerBandWidth
Indicates that one entity has a smaller or more limited bandwidth capacity than another.
-
D.
transmissionBand
Indicates the specific frequency range or band over which a signal, wave, or transmission is carried or allowed to pass.
-
E.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794b87508190be3b82726ef4b37c |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:45 p.m.