Triple
T9028143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal 2 binary format |
E216097
|
entity |
| Predicate | packagingModel |
P39622
|
FINISHED |
| Object | single app bundle containing multiple architecture slices |
—
|
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: single app bundle containing multiple architecture slices | Statement: [Universal 2 binary format, packagingModel, single app bundle containing multiple architecture slices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packagingModel Context triple: [Universal 2 binary format, packagingModel, single app bundle containing multiple architecture slices]
-
A.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
B.
packagingStyle
chosen
Indicates the manner or format in which a product or item is packaged or presented.
-
C.
packagingIncludes
Indicates that the packaging of one item contains or comes with another specified item or component.
-
D.
packagingRequirement
Indicates the specific conditions, standards, or constraints that must be met in how something is packaged.
-
E.
publishingModel
Indicates the method or framework by which content is produced, distributed, and made publicly available.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7fcb308190af90d6be8700e498 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.