Triple
T2834308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Hurd |
E62312
|
entity |
| Predicate | supportsDeviceManagement |
P42910
|
FINISHED |
| Object | user-space device drivers via servers |
—
|
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: user-space device drivers via servers | Statement: [GNU Hurd, supportsDeviceManagement, user-space device drivers via servers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDeviceManagement Context triple: [GNU Hurd, supportsDeviceManagement, user-space device drivers via servers]
-
A.
supportsDeviceCount
Indicates the number of devices that a system, service, or component is capable of supporting concurrently.
-
B.
requiresDevice
Indicates that performing the specified action or relationship is contingent on the presence or use of a particular device.
-
C.
supportsOnlineAccountManagement
Indicates that an entity provides functionality for users to manage their accounts through an online interface or platform.
-
D.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
-
E.
usesManagementTool
Indicates that one entity employs or operates a management tool to perform or support its management-related activities.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdec18b808190aedae2ed11d53b15 |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde4895dc819097c396c5d31ac1d1 |
completed | March 7, 2026, 8:14 a.m. |
Created at: March 6, 2026, 10:01 p.m.