Triple
T20815508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Béticos |
E512426
|
entity |
| Predicate | typicalColorOfClothing |
P38941
|
FINISHED |
| Object | green and white |
—
|
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: green and white | Statement: [Los Béticos, typicalColorOfClothing, green and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorOfClothing Context triple: [Los Béticos, typicalColorOfClothing, green and white]
-
A.
colorOfApparel
Indicates the specific color attribute associated with a piece of apparel or clothing item.
-
B.
typicalColorDescription
chosen
Indicates the usual or characteristic color associated with an entity.
-
C.
traditionalDressColor
Indicates the color associated with an entity’s traditional or customary dress or clothing.
-
D.
wardrobeColorTheme
Indicates that there is a relationship specifying the dominant or intended color scheme used for a wardrobe.
-
E.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d5a514819093d1a18626de8857 |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.