Triple
T31776310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLC (single-level cell) |
E811072
|
entity |
| Predicate | hasErrorRate |
P172288
|
FINISHED |
| Object | lower raw bit error rate than 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: lower raw bit error rate than MLC | Statement: [SLC (single-level cell), hasErrorRate, lower raw bit error rate than MLC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasErrorRate Context triple: [SLC (single-level cell), hasErrorRate, lower raw bit error rate than MLC]
-
A.
hasErrorLogging
Indicates that an entity is equipped with or supports functionality for recording and tracking errors or failures.
-
B.
hasApproximateRate
Indicates that one entity is associated with another entity representing an estimated or non-exact rate or frequency.
-
C.
failureRate
Indicates the proportion or frequency at which a system, component, or process fails over a specified set of operations or time period.
-
D.
hasFailureProbability
Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
-
E.
top5ErrorRate
Indicates the proportion of instances where the correct answer is not among the top five predicted results.
- 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.