Triple
T17499500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VPC Flow Logs |
E426154
|
entity |
| Predicate | canBeFilteredBy |
P42116
|
FINISHED |
| Object | traffic type |
—
|
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: traffic type | Statement: [VPC Flow Logs, canBeFilteredBy, traffic type]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeFilteredBy Context triple: [VPC Flow Logs, canBeFilteredBy, traffic type]
-
A.
usesFilter
Indicates that one entity applies or employs a filter (such as a criterion, condition, or processing mechanism) to another entity or set of data.
-
B.
hasFilterType
chosen
Indicates that an entity is associated with, or constrained by, a specific type or category of filter applied to it.
-
C.
hasFiltration
Indicates that one entity is equipped with, performs, or is associated with a filtration process or system applied to another entity or substance.
-
D.
supportsPredicateFiltering
Indicates that the subject allows or enables filtering operations to be performed based on specific predicates or conditions.
-
E.
hasRefinement
Indicates that one entity represents a more detailed, specific, or improved version of another entity.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452112ff0819089c2951baba90102 |
completed | April 19, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.