Triple
T1774329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classic Environment |
E38943
|
entity |
| Predicate | supportsMultitaskingWith |
P13398
|
FINISHED |
| Object | native Mac OS X applications |
—
|
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: native Mac OS X applications | Statement: [Classic Environment, supportsMultitaskingWith, native Mac OS X applications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultitaskingWith Context triple: [Classic Environment, supportsMultitaskingWith, native Mac OS X applications]
-
A.
supportsWorkloadType
Indicates that one entity is capable of handling, operating with, or being compatible with a specified type of workload.
-
B.
supportsDeviceCount
Indicates the number of devices that a system, service, or component is capable of supporting concurrently.
-
C.
supportedSystem
chosen
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
D.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
-
E.
supportsMissionType
Indicates that one entity is capable of handling, enabling, or being compatible with a specified type of mission.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.