Triple
T2396373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac |
E47659
|
entity |
| Predicate | supportsSoftwarePlatform |
P5090
|
FINISHED |
| Object | macOS 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: macOS applications | Statement: [Mac, supportsSoftwarePlatform, macOS applications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSoftwarePlatform Context triple: [Mac, supportsSoftwarePlatform, macOS applications]
-
A.
supportedPlatform
chosen
Indicates that one entity (such as a system, application, or service) is compatible with and can operate on a particular platform.
-
B.
supportsSoftwareEcosystem
Indicates that one entity provides resources, compatibility, or infrastructure that enables another entity’s software ecosystem to function, grow, or be maintained.
-
C.
supportedSystem
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
D.
hasSoftwareCompatibilityWith
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
-
E.
unsupportedPlatform
Indicates that a given platform is not supported for a particular action, feature, or system.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c4a8bc819086892a75caac0207 |
completed | March 7, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.