Triple
T29423348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo |
E746214
|
entity |
| Predicate | supportsTextRenderingBackend |
P84807
|
FINISHED |
| Object | FreeType |
E1491911
|
NE 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: FreeType | Statement: [Cairo, supportsTextRenderingBackend, FreeType]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTextRenderingBackend Context triple: [Cairo, supportsTextRenderingBackend, FreeType]
-
A.
supportsRenderingBackend
chosen
Indicates that one entity is capable of using or working with a specified rendering backend to perform rendering operations.
-
B.
supportsCompositingBackend
Indicates that one entity provides compatibility with or can operate using a specified compositing backend.
-
C.
supportsOffscreenRendering
Indicates that the subject is capable of performing rendering operations to an offscreen buffer or surface rather than directly to the visible display.
-
D.
supportsFontSmoothing
Indicates that one entity provides or enables font smoothing capabilities for another entity or context.
-
E.
supportsRasterization
Indicates that one entity provides the capability or functionality for another entity to perform rasterization operations.
- F. None of above.
Provenance (4 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25f1038b948190809195eca951caf3 |
completed | June 7, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 28, 2026, 3:07 p.m.