Triple
T25914270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guava Island (fictional Caribbean island) |
E652985
|
entity |
| Predicate | visualStyleInDepiction |
P153517
|
FINISHED |
| Object | saturated colors |
—
|
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: saturated colors | Statement: [Guava Island (fictional Caribbean island), visualStyleInDepiction, saturated colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualStyleInDepiction Context triple: [Guava Island (fictional Caribbean island), visualStyleInDepiction, saturated colors]
-
A.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
B.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
-
C.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
D.
visualizationStyle
chosen
Indicates how an entity is visually represented or styled in a visualization or graphical context.
-
E.
visuallyDefines
Indicates that one entity establishes or clarifies the appearance, form, or visual characteristics of 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603e1f01c819082a9ea9385ce8433 |
completed | May 2, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:30 a.m.