Triple
T8703638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNOME Control Center |
E206591
|
entity |
| Predicate | hasCategoryView |
P854
|
FINISHED |
| Object | sidebar-based settings categories |
—
|
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: sidebar-based settings categories | Statement: [GNOME Control Center, hasCategoryView, sidebar-based settings categories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCategoryView Context triple: [GNOME Control Center, hasCategoryView, sidebar-based settings categories]
-
A.
hasCategorySystem
Indicates that an entity is associated with or organized according to a particular categorization system.
-
B.
hasCategories
Indicates that an entity is associated with one or more categories that classify or group it.
-
C.
hasView
chosen
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
D.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
E.
hasCategoryCount
Indicates the number of distinct categories 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fa0a208190a520e0e1f7faaea9 |
completed | March 31, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:34 p.m.