Triple
T9614241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSD |
E232178
|
entity |
| Predicate | supportsInterface |
P203
|
FINISHED |
| Object | NVMe |
E232843
|
NE 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: NVMe | Statement: [SSD, supportsInterface, NVMe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NVMe Context triple: [SSD, supportsInterface, NVMe]
-
A.
NVMe
chosen
NVMe (Non-Volatile Memory Express) is a high-performance storage protocol designed specifically for solid-state drives over PCIe, offering significantly lower latency and higher throughput than traditional storage interfaces like SATA.
-
B.
NVMe over Fabrics
NVMe over Fabrics is a network protocol that extends the high-performance NVMe storage interface across various network transports to enable low-latency, scalable access to remote solid-state storage.
-
C.
U.2
U.2 is a computer storage interface standard used primarily to connect high-performance NVMe solid-state drives to enterprise servers via a 2.5-inch form factor.
-
D.
SSD
SSD is the National Rail station code assigned to Stansted Airport railway station in Essex, England.
-
E.
CXL
CXL is a higher-end luxury trim level used by Buick, offering upgraded comfort, convenience, and styling features compared to base models.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17958287081908e337bdbe9ea366f |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:09 p.m.