Triple
T8435713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.2 |
E199217
|
entity |
| Predicate | logicalInterface |
P34297
|
FINISHED |
| Object | PCIe-based NVMe |
—
|
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: PCIe-based NVMe | Statement: [U.2, logicalInterface, PCIe-based NVMe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalInterface Context triple: [U.2, logicalInterface, PCIe-based NVMe]
-
A.
languageOfInterface
Indicates the language used by or presented in a user interface.
-
B.
primaryInterface
Indicates that one entity serves as the main or default interface through which another entity is accessed or interacted with.
-
C.
hasCommunicationInterface
chosen
Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
-
D.
logicalTrait
Indicates that an entity possesses a characteristic, behavior, or quality related to logical reasoning or structured thinking.
-
E.
usesInterface
Indicates that one entity interacts with or operates another entity through a specified interface or set of interface methods.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.