Triple
T31776328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLC (multi-level cell) |
E811073
|
entity |
| Predicate | hasLowerWriteSpeedThan |
P9245
|
FINISHED |
| Object | SLC (single-level cell) |
—
|
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: SLC (single-level cell) | Statement: [MLC (multi-level cell), hasLowerWriteSpeedThan, SLC (single-level cell)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerWriteSpeedThan Context triple: [MLC (multi-level cell), hasLowerWriteSpeedThan, SLC (single-level cell)]
-
A.
hasLowerThroughputThan
Indicates that one entity’s throughput is less than that of another entity.
-
B.
hasLowerPowerConsumptionThan
Indicates that one entity uses less power or energy than another entity under comparable conditions.
-
C.
slowerThan
chosen
Indicates that one entity moves or operates at a lower speed than another entity.
-
D.
hasHigherThroughputThan
Indicates that one entity can process or transmit a greater volume of work, data, or operations per unit time than another entity.
-
E.
dataRateLowSpeed
Indicates that the data transmission rate is at a relatively low speed or bandwidth level.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: April 30, 2026, 11:35 p.m.