Triple
T9614302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TLC (triple-level cell) |
E232179
|
entity |
| Predicate | readLatency |
P52542
|
FINISHED |
| Object | typically higher than SLC and MLC |
—
|
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: typically higher than SLC and MLC | Statement: [TLC (triple-level cell), readLatency, typically higher than SLC and MLC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readLatency Context triple: [TLC (triple-level cell), readLatency, typically higher than SLC and MLC]
-
A.
communicationLatency
Indicates the time delay between when a communication is sent by one entity and when it is received or processed by another.
-
B.
algorithmicDelay
Indicates a time lag or postponement that arises specifically from the execution or processing steps of an algorithm.
-
C.
clockToDataRatio
Indicates the proportional relationship between a system’s clock frequency and its data transfer or processing rate.
-
D.
intendedResponseTime
Indicates the expected or planned amount of time within which a response should be given or received.
-
E.
runtimeCharacteristic
chosen
Indicates a relationship where a system, process, or component is associated with a property or behavior that specifically manifests during its execution or operation time.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.