Triple
T31776313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLC (single-level cell) |
E811072
|
entity |
| Predicate | requiresECCStrength |
P197799
|
FINISHED |
| Object | lower ECC strength 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 ECC strength than MLC | Statement: [SLC (single-level cell), requiresECCStrength, lower ECC strength than MLC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresECCStrength Context triple: [SLC (single-level cell), requiresECCStrength, lower ECC strength than MLC]
-
A.
hasKeyStrength
Indicates that an entity possesses a primary or defining strength, capability, or advantage.
-
B.
maximumAuthorizedStrength
Indicates the highest allowable level or quantity of a resource, capacity, or personnel that is officially permitted.
-
C.
requiresEncryption
Indicates that one entity must use encryption when communicating with, storing data for, or otherwise interacting with another entity.
-
D.
supportsHardwareCryptography
Indicates that one entity provides or enables hardware-based cryptographic operations or capabilities for another entity.
-
E.
initialAuthorizedStrength
Indicates the originally approved or designated level, size, or capacity of a force, group, or resource at the time it was first authorized.
- 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_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
| PDg | Predicate description generation | batch_69feabcca6148190a8eb7b6fa33729c7 |
completed | May 9, 2026, 3:36 a.m. |
Created at: April 30, 2026, 11:35 p.m.