Triple
T13636906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Active Queue Management |
E325871
|
entity |
| Predicate | aimsToOptimizeTradeoffBetween |
P9277
|
FINISHED |
| Object | throughput and delay |
—
|
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: throughput and delay | Statement: [Active Queue Management, aimsToOptimizeTradeoffBetween, throughput and delay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToOptimizeTradeoffBetween Context triple: [Active Queue Management, aimsToOptimizeTradeoffBetween, throughput and delay]
-
A.
hasTradeoff
Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
-
B.
hasDesignTradeoff
Indicates that one design choice involves compromises or conflicting benefits and drawbacks relative to other possible designs.
-
C.
aimsToBalance
chosen
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
D.
optimizationTarget
Indicates that one entity is the goal or objective that another entity is trying to improve, optimize, or make more efficient.
-
E.
typeOfOptimality
Indicates that one entity specifies the particular notion or criterion of optimality that characterizes another entity’s optimal status or solution.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.