Triple
T18897529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S3 Standard-IA |
E462247
|
entity |
| Predicate | minimumObjectSizeForBilling |
P35895
|
FINISHED |
| Object | 128 KB |
—
|
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: 128 KB | Statement: [S3 Standard-IA, minimumObjectSizeForBilling, 128 KB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumObjectSizeForBilling Context triple: [S3 Standard-IA, minimumObjectSizeForBilling, 128 KB]
-
A.
minimumStorageDurationCharge
Indicates that a charge is applied based on the minimum duration for which storage must be maintained or paid for.
-
B.
minStorageCapacity
Indicates the minimum storage capacity required, allowed, or guaranteed in a given context or relationship.
-
C.
minimumUnitSize
chosen
Indicates that there is a smallest allowable or defined size or quantity for the unit involved in the relationship.
-
D.
minimumSize
Indicates that there is a lower bound or smallest allowable value for the size of something in the relationship.
-
E.
minimumFrameSize
Indicates the smallest allowable or supported size of a frame in the given context or system.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52689308190b2e5ca163b1f6cd1 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.