Triple
T8608754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutter |
E203867
|
entity |
| Predicate | targetUserInterface |
P1594
|
FINISHED |
| Object | desktop |
—
|
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: desktop | Statement: [Mutter, targetUserInterface, desktop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetUserInterface Context triple: [Mutter, targetUserInterface, desktop]
-
A.
userInterface
chosen
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
-
B.
targetsUseCase
Indicates that one entity is aimed at or designed to address a particular use case associated with another entity.
-
C.
userInterfaceSimilarTo
Indicates that one user interface resembles or closely matches another in appearance, layout, or interaction style.
-
D.
targetUserPosition
Indicates the spatial position or location of a specified user relative to a reference frame or environment.
-
E.
commandUser
Indicates that one entity issues an instruction or directive that another entity is expected to follow.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.