Triple
T18545353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Vues de l’Allemagne panoramic wallpaper |
E453211
|
entity |
| Predicate | installationMode |
P68194
|
FINISHED |
| Object | full-room wall covering |
—
|
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: full-room wall covering | Statement: [Les Vues de l’Allemagne panoramic wallpaper, installationMode, full-room wall covering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: installationMode Context triple: [Les Vues de l’Allemagne panoramic wallpaper, installationMode, full-room wall covering]
-
A.
installationContext
Indicates the situational or environmental setting in which an installation occurs or is intended to function.
-
B.
installationCommand
Indicates the command or set of commands used to install a particular software, package, or component.
-
C.
controlledInstallation
Indicates that an entity has authoritative oversight or management responsibility over the setup, configuration, or deployment of another entity.
-
D.
installationScope
chosen
Indicates the extent or range within which an installation is applied, managed, or affects relevant entities.
-
E.
installationMission
Indicates that an entity is assigned the task or mission of installing or setting up another 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b9fa408190b5b397962920e439 |
completed | April 19, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.