Triple
T1718615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows for Workgroups |
E37342
|
entity |
| Predicate | supportsMultitasking |
P203
|
FINISHED |
| Object | 16-bit cooperative multitasking |
—
|
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: 16-bit cooperative multitasking | Statement: [Windows for Workgroups, supportsMultitasking, 16-bit cooperative multitasking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultitasking Context triple: [Windows for Workgroups, supportsMultitasking, 16-bit cooperative multitasking]
-
A.
supportsDeviceCount
Indicates the number of devices that a system, service, or component is capable of supporting concurrently.
-
B.
supportedSystem
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
C.
supportsMissionType
Indicates that one entity is capable of handling, enabling, or being compatible with a specified type of mission.
-
D.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportsWorkloadType
Indicates that one entity is capable of handling, operating with, or being compatible with a specified type of workload.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.