Triple
T18897561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S3 Standard-IA |
E462247
|
entity |
| Predicate | regionRedundancy |
P133712
|
FINISHED |
| Object | multi-AZ within a single Region |
—
|
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: multi-AZ within a single Region | Statement: [S3 Standard-IA, regionRedundancy, multi-AZ within a single Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionRedundancy Context triple: [S3 Standard-IA, regionRedundancy, multi-AZ within a single Region]
-
A.
remnantRegion
Indicates that a region is a leftover or remaining part of something that previously existed or was larger.
-
B.
regionException
Indicates an exception or exclusion to a rule, condition, or classification that applies specifically to a certain region or set of regions.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
regionStatus
Indicates the current condition, classification, or operational state assigned to a specific geographic or administrative region.
-
E.
regionCoverage
Indicates that one entity geographically spans, includes, or serves the area defined by another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e4afa745c081908da20a51ebc147b4 |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 11:58 a.m.