Triple
T2066360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3D NAND |
E45909
|
entity |
| Predicate | hasAdvantageOverPlanarNAND |
P35142
|
FINISHED |
| Object | higher capacity per die |
—
|
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 capacity per die | Statement: [3D NAND, hasAdvantageOverPlanarNAND, higher capacity per die]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdvantageOverPlanarNAND Context triple: [3D NAND, hasAdvantageOverPlanarNAND, higher capacity per die]
-
A.
advantageOverParallelSCSI
Indicates that one technology, method, or system provides benefits or improvements when compared to parallel SCSI.
-
B.
notableAdvantage
Indicates that one entity possesses a significant benefit, edge, or favorable quality over another entity or in a given context.
-
C.
hasPlanningCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
-
D.
notableHighPerformanceVariant
Indicates that an entity is recognized as a particularly high-performance version or variant of another entity.
-
E.
hasRAM
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f0cb888190a97884f5a722d91f |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb87b9fc08190a748c278ef2d7dc7 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:40 p.m.