Triple
T8609264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flatpak |
E203877
|
entity |
| Predicate | supportsUpdateModel |
P57999
|
FINISHED |
| Object | rolling updates |
—
|
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: rolling updates | Statement: [Flatpak, supportsUpdateModel, rolling updates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUpdateModel Context triple: [Flatpak, supportsUpdateModel, rolling updates]
-
A.
supportsUpdateSystem
chosen
Indicates that an entity is capable of performing or handling operations to modify or upgrade a system.
-
B.
supportsExtensionModel
Indicates that one entity provides compatibility or functionality for using a specified extension model associated with another entity.
-
C.
supportsModelType
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
D.
appliesModel
Indicates that one entity uses or executes a specific model on another entity or data set.
-
E.
supportsContributionModel
Indicates that one entity enables or is compatible with a particular model or framework for making contributions (such as donations, content, or resources).
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.