Triple
T9899910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows App SDK |
E182256
|
entity |
| Predicate | supportsPackagingModel |
P91061
|
FINISHED |
| Object | MSIX packaged apps |
—
|
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: MSIX packaged apps | Statement: [Windows App SDK, supportsPackagingModel, MSIX packaged apps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPackagingModel Context triple: [Windows App SDK, supportsPackagingModel, MSIX packaged apps]
-
A.
supportsBinaryPackages
Indicates that one entity provides or is compatible with precompiled binary packages for another entity.
-
B.
supportsModelType
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
C.
supportsRecordPacking
Indicates that one entity is capable of handling or enabling the packing of records into a more compact or bundled form for another entity or process.
-
D.
supportsModelVariant
Indicates that one entity is capable of operating with, being compatible with, or otherwise accommodating a specific variant of a model.
-
E.
packagingRequirement
Indicates the specific conditions, standards, or constraints that must be met in how something is packaged.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e0705c8190bd17e36aff615cdd |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.