Triple
T28525097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | elementary OS |
E721882
|
entity |
| Predicate | defaultTextEditor |
P12001
|
FINISHED |
| Object | Code |
—
|
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: Code | Statement: [elementary OS, defaultTextEditor, Code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultTextEditor Context triple: [elementary OS, defaultTextEditor, Code]
-
A.
hasDefaultTextEditor
chosen
Indicates that one entity is designated as the standard or primary text editor used by another entity.
-
B.
defaultEditorSince
Indicates the point in time since which a particular entity has been designated as the default editor for another entity or context.
-
C.
intendedEditor
Indicates that one entity is designated or expected to act as the editor of another entity (such as a document, work, or content).
-
D.
mainEditor
Indicates that one entity serves as the primary editor responsible for overseeing and managing the editing of another entity.
-
E.
editorName
Indicates the relationship that specifies the name of an editor associated with a given entity.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 3:23 a.m.