Triple
T9899145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Blob Storage |
E182242
|
entity |
| Predicate | supportsRedundancyOption |
P30851
|
FINISHED |
| Object | LRS |
—
|
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: LRS | Statement: [Azure Blob Storage, supportsRedundancyOption, LRS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRedundancyOption Context triple: [Azure Blob Storage, supportsRedundancyOption, LRS]
-
A.
supportsRedundancy
Indicates that one entity provides or enables backup or failover capabilities for another to ensure continued operation if a primary component fails.
-
B.
supportsDataReplicationFactor
chosen
Indicates that an entity enables, configures, or is compatible with a specified data replication factor for storing or duplicating data.
-
C.
supportsPersistence
Indicates that one entity enables or provides the capability for another entity’s data or state to be stored and retained over time.
-
D.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
E.
supportsBackupTool
Indicates that one entity provides compatibility with or functionality for a specified backup tool.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4adc03481909e0f657db01e5bab |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.