Triple
T24929468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GhostXPS |
E618945
|
entity |
| Predicate | canRenderTo |
P84807
|
FINISHED |
| Object | PDF via Ghostscript integration |
—
|
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: PDF via Ghostscript integration | Statement: [GhostXPS, canRenderTo, PDF via Ghostscript integration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canRenderTo Context triple: [GhostXPS, canRenderTo, PDF via Ghostscript integration]
-
A.
canRender
Indicates that one entity has the capability or functionality to generate or display another entity in a visual or presentable form.
-
B.
isRenderingOf
Indicates that one entity is a visual or graphical depiction or representation of another entity.
-
C.
canBeDepictedAs
Indicates that one entity is capable of being visually represented or illustrated in the form or style of another entity.
-
D.
supportsRenderingBackend
chosen
Indicates that one entity is capable of using or working with a specified rendering backend to perform rendering operations.
-
E.
canRepresent
Indicates that one entity is capable of serving as a valid stand-in, proxy, or expression for another entity in a given context.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:29 a.m.