Triple
T22445604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchsia |
E554855
|
entity |
| Predicate | usesComponentModel |
P43872
|
FINISHED |
| Object | Fuchsia component framework |
—
|
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: Fuchsia component framework | Statement: [Fuchsia, usesComponentModel, Fuchsia component framework]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesComponentModel Context triple: [Fuchsia, usesComponentModel, Fuchsia component framework]
-
A.
hasComponentModel
chosen
Indicates that an entity includes or is associated with a specific component model as part of its structure or configuration.
-
B.
usesModelsType
Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
-
C.
useOfModel
Indicates that one entity employs, applies, or relies on a particular model for a specific purpose or task.
-
D.
usedComponent
Indicates that one entity has employed or incorporated another entity as a component in its structure, function, or operation.
-
E.
usesArchitectureComponent
Indicates that one entity employs or incorporates a specific architecture component as part of its structure, design, or implementation.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b46e8ac8190bfa8c611ffcba822 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.