Triple
T27032075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Island |
E680944
|
entity |
| Predicate | visualBasis |
P119726
|
FINISHED |
| Object | color of built environment |
—
|
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: color of built environment | Statement: [The White Island, visualBasis, color of built environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualBasis Context triple: [The White Island, visualBasis, color of built environment]
-
A.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
B.
visualizedIn
Indicates that something is represented or depicted within a particular visual medium, view, or visualization.
-
C.
visualCompanion
Indicates that one entity serves as a visual counterpart, partner, or accompanying element to another in a visual context.
-
D.
visuallyDefines
chosen
Indicates that one entity establishes or clarifies the appearance, form, or visual characteristics of another entity.
-
E.
visualCenterpiece
Indicates that one entity serves as the primary visual focus or dominant visual element in relation to 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 7:14 a.m.