Triple
T8435702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.2 |
E199217
|
entity |
| Predicate | supportsFormFactorFamily |
P83353
|
FINISHED |
| Object | 2.5-inch drive bays |
—
|
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 drive bays | Statement: [U.2, supportsFormFactorFamily, 2.5-inch drive bays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsFormFactorFamily Context triple: [U.2, supportsFormFactorFamily, 2.5-inch drive bays]
-
A.
hasFormFactor
Indicates that one entity possesses or is characterized by a particular physical or structural form factor defined by another entity.
-
B.
supportsModelFamily
Indicates that one entity provides compatibility, functionality, or resources necessary for the operation or use of a particular model family.
-
C.
usedInDeviceFamily
Indicates that something (such as a component, technology, or feature) is employed or incorporated within a particular family of related devices.
-
D.
supportsDeviceCategory
Indicates that one entity is compatible with and can operate or accommodate a specified category of devices.
-
E.
supportsHandheldMode
Indicates that an entity is capable of operating or being used in a handheld mode.
- 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.