Triple
T9027812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | App Clips |
E216090
|
entity |
| Predicate | bundleType |
P81181
|
FINISHED |
| Object | separate lightweight app bundle |
—
|
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: separate lightweight app bundle | Statement: [App Clips, bundleType, separate lightweight app bundle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bundleType Context triple: [App Clips, bundleType, separate lightweight app bundle]
-
A.
distributionPackageType
chosen
Indicates the specific kind or category of package used to distribute something (such as software, data, or products).
-
B.
bandType
Indicates the specific kind or category of band that an entity belongs to or is associated with.
-
C.
distributionPackage
Indicates that one entity is a package or bundle used to distribute another entity (such as software, content, or resources).
-
D.
packageType
Indicates the classification or category of packaging associated with an item or shipment.
-
E.
partBType
Indicates that one entity is classified as the type or category to which the second entity (part B) belongs.
- 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.