Triple
T2066390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3D NAND |
E45909
|
entity |
| Predicate | retainsDataWithoutPower |
P31904
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [3D NAND, retainsDataWithoutPower, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retainsDataWithoutPower Context triple: [3D NAND, retainsDataWithoutPower, true]
-
A.
supportsPersistence
chosen
Indicates that one entity enables or provides the capability for another entity’s data or state to be stored and retained over time.
-
B.
lostPowerDuring
Indicates that an entity ceased to have electrical or functional power at some time during a specified event or interval.
-
C.
hasBackupBattery
Indicates that an entity is equipped with an additional battery intended to provide power when the primary power source is unavailable or fails.
-
D.
lostPower
Indicates that an entity has ceased to have electrical or functional power it previously possessed.
-
E.
storesEnergyAs
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
- 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_69abb9f236f08190b602d337afb1880f |
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.