Triple
T12322688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS Backup |
E293761
|
entity |
| Predicate | supportsCloudWatchEvents |
P104461
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [AWS Backup, supportsCloudWatchEvents, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCloudWatchEvents Context triple: [AWS Backup, supportsCloudWatchEvents, true]
-
A.
supportsCloudModel
Indicates that one entity provides compatibility with, or operational backing for, a cloud-based model offered or used by another entity.
-
B.
canBeMonitoredWith
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
-
C.
monitoringOutput
Indicates that one entity observes, records, or tracks the performance, behavior, or results produced by another entity or process.
-
D.
hasCloudComposition
Indicates that an atmospheric body or region possesses a specific composition or makeup of clouds.
-
E.
supportsLongTermMonitoring
Indicates that an entity enables or is compatible with ongoing, long-duration observation, tracking, or data collection over time.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.