Triple
T31776353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLC (multi-level cell) |
E811073
|
entity |
| Predicate | errorRate |
P172290
|
FINISHED |
| Object | higher raw bit error rate than SLC |
—
|
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: higher raw bit error rate than SLC | Statement: [MLC (multi-level cell), errorRate, higher raw bit error rate than SLC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorRate Context triple: [MLC (multi-level cell), errorRate, higher raw bit error rate than SLC]
-
A.
failureRate
Indicates the proportion or frequency at which a system, component, or process fails over a specified set of operations or time period.
-
B.
successRate
Indicates the proportion or frequency with which attempts at a given action or process result in a successful outcome.
-
C.
top5ErrorRate
Indicates the proportion of instances where the correct answer is not among the top five predicted results.
-
D.
errorTerm
Indicates the specific discrepancy or residual value that quantifies the difference between an observed outcome and its predicted or true value in a model or calculation.
-
E.
terminationRate
Indicates the frequency or proportion at which something (such as a process, contract, or relationship) is ended or discontinued over a given context or time period.
- F. None of above. chosen
Provenance (4 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_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aac95c1481909fff33702d0a6c37 |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:35 p.m.