Triple
T4600451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon S3 |
E100305
|
entity |
| Predicate | dataConsistency |
P55185
|
FINISHED |
| Object | strong read-after-write consistency for PUTs of new objects |
—
|
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: strong read-after-write consistency for PUTs of new objects | Statement: [Amazon S3, dataConsistency, strong read-after-write consistency for PUTs of new objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataConsistency Context triple: [Amazon S3, dataConsistency, strong read-after-write consistency for PUTs of new objects]
-
A.
dataSyncedTo
Indicates that a set of data has been successfully synchronized from one system or location to another, reflecting the same state or contents.
-
B.
dataMaintained
Indicates that one entity is responsible for preserving, storing, or keeping another entity’s data up to date and accessible over time.
-
C.
consistencyModel
chosen
Indicates that one entity adheres to, implements, or is governed by a particular consistency model in its behavior or operations.
-
D.
typicalConsistency
Indicates that one entity characteristically maintains a regular or expected level of consistency in relation to another entity or context.
-
E.
statusInDatabases
Indicates the current state or condition an entity has within one or more database systems.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5971f448819090f6e76c7d3ffc2d |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.