Triple
T35225824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | spintronics |
E1017090
|
entity |
| Predicate | enablesDevice |
P70384
|
FINISHED |
| Object | magnetoresistive random-access memory |
—
|
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: magnetoresistive random-access memory | Statement: [spintronics, enablesDevice, magnetoresistive random-access memory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enablesDevice Context triple: [spintronics, enablesDevice, magnetoresistive random-access memory]
-
A.
enablesTechnology
chosen
Indicates that one entity makes it possible for another entity, system, or process to function through the use or provision of a particular technology.
-
B.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
-
C.
deviceAuthorized
Indicates that a device has been granted permission to access or interact with a system, resource, or service.
-
D.
enablesService
Indicates that one entity provides the capability or necessary conditions for another entity to offer or perform a specific service.
-
E.
canEnable
Indicates that one entity has the capability or authority to activate, turn on, or make another entity or function operational.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.