Triple
T18800541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S3 One Zone-IA |
E459744
|
entity |
| Predicate | dataAccessLatency |
P45126
|
FINISHED |
| Object | millisecond access |
—
|
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: millisecond access | Statement: [S3 One Zone-IA, dataAccessLatency, millisecond access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataAccessLatency Context triple: [S3 One Zone-IA, dataAccessLatency, millisecond access]
-
A.
communicationLatency
chosen
Indicates the time delay between when a communication is sent by one entity and when it is received or processed by another.
-
B.
latencyClass
Indicates the category or range of delay (latency) associated with an interaction, communication, or response between entities.
-
C.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
D.
dataAccessTechnology
Indicates the technology or method used to access, retrieve, or interact with data.
-
E.
dataRateGeneration
Indicates the rate at which data is produced or generated over time in 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.