Triple
T29423363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo |
E746215
|
entity |
| Predicate | supportsGraphicsModel |
P19966
|
FINISHED |
| Object | 2D vector graphics |
—
|
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: 2D vector graphics | Statement: [Cairo, supportsGraphicsModel, 2D vector graphics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsGraphicsModel Context triple: [Cairo, supportsGraphicsModel, 2D vector graphics]
-
A.
supportsGraphicsSwitching
Indicates that an entity can dynamically switch between different graphics hardware or rendering modes, typically to balance performance and power usage.
-
B.
supportsModelType
chosen
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
C.
supportedModel
Indicates that one entity provides compatibility with, or operational backing for, a particular model.
-
D.
has3DGraphics
Indicates that something includes or supports three-dimensional graphical representation or rendering.
-
E.
hasGraphicsOption
Indicates that an entity provides or supports a particular graphics-related configuration or setting.
- 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.