Triple
T6409031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real-time Transport Control Protocol |
E127658
|
entity |
| Predicate | bandwidthUsage |
P60613
|
FINISHED |
| Object | typically limited to 5% of session bandwidth |
—
|
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: typically limited to 5% of session bandwidth | Statement: [Real-time Transport Control Protocol, bandwidthUsage, typically limited to 5% of session bandwidth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bandwidthUsage Context triple: [Real-time Transport Control Protocol, bandwidthUsage, typically limited to 5% of session bandwidth]
-
A.
supportsBandwidths
Indicates that an entity is compatible with or can operate using the specified range or set of bandwidth values.
-
B.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
C.
originalNetworkUsage
chosen
Indicates the amount or pattern of network resources initially consumed or utilized in a given context or time period.
-
D.
bandwidthClass
Indicates the classification of a connection or resource based on its available or allocated bandwidth capacity.
-
E.
dataRateGeneration
Indicates the rate at which data is produced or generated over time in a given 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cdf25881908d42a5d979637ad6 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.