Triple
T13636925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Random Early Detection |
E325872
|
entity |
| Predicate | dropPolicy |
P111409
|
FINISHED |
| Object | drops packets with probability increasing with average queue size |
—
|
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: drops packets with probability increasing with average queue size | Statement: [Random Early Detection, dropPolicy, drops packets with probability increasing with average queue size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dropPolicy Context triple: [Random Early Detection, dropPolicy, drops packets with probability increasing with average queue size]
-
A.
stopPolicy
Indicates that an entity terminates, cancels, or brings to an end a policy or ongoing course of action.
-
B.
dropCondition
Indicates that an entity ceases to satisfy, or is no longer subject to, a specified condition or requirement.
-
C.
dropType
Indicates the manner or category of how something is dropped, released, or caused to fall.
-
D.
expirationPolicy
Indicates the rules or conditions under which something becomes invalid, unusable, or no longer in effect after a certain time or event.
-
E.
boardingPolicy
Indicates the rules or procedures governing how and in what order passengers are allowed to board a vehicle or vessel.
- 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_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. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.