Triple
T29423307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo |
E746214
|
entity |
| Predicate | supportsOutputBackend |
P114071
|
FINISHED |
| Object | image surfaces |
—
|
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: image surfaces | Statement: [Cairo, supportsOutputBackend, image surfaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsOutputBackend Context triple: [Cairo, supportsOutputBackend, image surfaces]
-
A.
supportsOutputType
chosen
Indicates that one entity is capable of producing, handling, or generating data or results of the specified output type.
-
B.
supportsRenderingBackend
Indicates that one entity is capable of using or working with a specified rendering backend to perform rendering operations.
-
C.
hasBackend
Indicates that one entity functions as the backend or server-side component that supports or powers another entity.
-
D.
supportsCompositingBackend
Indicates that one entity provides compatibility with or can operate using a specified compositing backend.
-
E.
supportsCompositeOutput
Indicates that an entity provides or is compatible with combined or multi-channel output from multiple sources into a single composite result.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 28, 2026, 3:07 p.m.