Triple
T12322672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS Backup |
E293761
|
entity |
| Predicate | supportsCrossRegionBackup |
P104451
|
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, supportsCrossRegionBackup, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCrossRegionBackup Context triple: [AWS Backup, supportsCrossRegionBackup, true]
-
A.
supportsCrossSave
Indicates that an entity allows users to share and continue their progress or data across multiple platforms or devices.
-
B.
servesAsBackupFor
Indicates that one entity functions as a substitute or fallback that can take over the role or responsibilities of another entity if needed.
-
C.
supportsBlockStorage
Indicates that one entity provides or is compatible with block-level storage capabilities for another entity.
-
D.
supportsBackupFormat
Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
-
E.
supportsDataReplicationFactor
Indicates that an entity enables, configures, or is compatible with a specified data replication factor for storing or duplicating data.
- 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.