Triple
T29406844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freedesktop runtime |
E745796
|
entity |
| Predicate | isDesktopAgnostic |
P167150
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Freedesktop runtime, isDesktopAgnostic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDesktopAgnostic Context triple: [Freedesktop runtime, isDesktopAgnostic, true]
-
A.
designedForDesktopEnvironment
Indicates that something is intended or optimized to be used within a desktop computing environment.
-
B.
isProtocolAgnostic
Indicates that the relationship or mechanism functions independently of any specific communication protocol, working uniformly across different protocols.
-
C.
includesDesktopEnvironment
Indicates that one entity (typically a software package or distribution) comes bundled with or provides a desktop environment as part of its contents.
-
D.
isMediaIndependent
Indicates that the relationship or action holds regardless of the specific medium, channel, or physical transmission technology involved.
-
E.
isPortableComparedTo
Indicates that one entity can be moved, carried, or transported more easily than another entity.
- F. None of above. chosen
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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a35247c8190acfba4d40db8c210 |
completed | May 2, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 2:54 p.m.