Triple
T18800537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S3 One Zone-IA |
E459744
|
entity |
| Predicate | retrievalPattern |
P79849
|
FINISHED |
| Object | infrequent access with millisecond latency |
—
|
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: infrequent access with millisecond latency | Statement: [S3 One Zone-IA, retrievalPattern, infrequent access with millisecond latency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retrievalPattern Context triple: [S3 One Zone-IA, retrievalPattern, infrequent access with millisecond latency]
-
A.
acquisitionPattern
Indicates the characteristic way in which one entity acquires or obtains another entity or resource, such as the method, frequency, or structure of the acquisition.
-
B.
patroonOf
Indicates a relationship in which one entity acts as a patron, sponsor, or protector providing support or resources to another entity.
-
C.
accessPattern
chosen
Indicates how an entity interacts with or retrieves data or resources, such as the manner, frequency, or sequence of access.
-
D.
repetitionPattern
Indicates a recurring structure or sequence in which an action, event, or element is repeated over time or across instances.
-
E.
languagePattern
Indicates a recurring or structured way in which language is used, organized, or formed within a given context.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02332d88190b68feea7f2f86d06 |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.