Triple
T8435685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.2 |
E199217
|
entity |
| Predicate | supportsDriveFormFactor |
P83352
|
FINISHED |
| Object | 2.5-inch NVMe SSD |
—
|
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: 2.5-inch NVMe SSD | Statement: [U.2, supportsDriveFormFactor, 2.5-inch NVMe SSD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDriveFormFactor Context triple: [U.2, supportsDriveFormFactor, 2.5-inch NVMe SSD]
-
A.
hasFormFactor
Indicates that one entity possesses or is characterized by a particular physical or structural form factor defined by another entity.
-
B.
deviceShape
Indicates that one entity has the physical form or geometric configuration specified by the other entity.
-
C.
supportsExternalDrive
Indicates that one entity is capable of working with, recognizing, or providing functionality for an external storage drive.
-
D.
driveLayoutSupported
Indicates that a particular drive layout or configuration is compatible with and can be correctly handled by a given system or component.
-
E.
supportsDeviceCategory
Indicates that one entity is compatible with and can operate or accommodate a specified category of devices.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:08 p.m.