Triple
T2066377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3D NAND |
E45909
|
entity |
| Predicate | commercializationBegan |
P1929
|
FINISHED |
| Object | early 2010s |
—
|
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: early 2010s | Statement: [3D NAND, commercializationBegan, early 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercializationBegan Context triple: [3D NAND, commercializationBegan, early 2010s]
-
A.
commercializedIn
Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
-
B.
commercialized
Indicates that something has been developed, marketed, or exploited for profit in a commercial context.
-
C.
firstCommercialUse
chosen
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
D.
massProductionStart
Indicates the point in time when an item or product begins to be manufactured at large scale in a mass-production process.
-
E.
commercialAccess
Indicates that an entity is permitted to use or access something for commercial or profit-generating purposes.
- 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_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. |
Created at: March 4, 2026, 7:40 p.m.