Triple
T26059816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kortrijk 1302 Museum |
E657226
|
entity |
| Predicate | usesMultimediaDisplays |
P127197
|
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: [Kortrijk 1302 Museum, usesMultimediaDisplays, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMultimediaDisplays Context triple: [Kortrijk 1302 Museum, usesMultimediaDisplays, true]
-
A.
supportsDisplayTechnology
Indicates that one entity is compatible with, or capable of operating using, a specified display technology.
-
B.
hasPhysicalDisplays
chosen
Indicates that an entity possesses one or more tangible, visible display units or interfaces.
-
C.
visualTechnology
Indicates a relationship where one entity is a technology used to capture, process, display, or otherwise handle visual information for another entity or context.
-
D.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
E.
mediaDisplayed
Indicates that a particular piece of media is shown or presented to an audience or user in a given context.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 26, 2026, 7:16 p.m.