Triple
T13002825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belasí |
E322210
|
entity |
| Predicate | clubTraditionalColor |
P31069
|
FINISHED |
| Object | light blue |
—
|
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: light blue | Statement: [Belasí, clubTraditionalColor, light blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubTraditionalColor Context triple: [Belasí, clubTraditionalColor, light blue]
-
A.
traditionalKitColor
Indicates the customary or historically established color scheme used for an entity’s standard or primary kit or uniform.
-
B.
traditionalDressColor
Indicates the color associated with an entity’s traditional or customary dress or clothing.
-
C.
clubColoursPattern
Indicates the pattern or design style used in a club’s official colours (e.g., stripes, hoops, solid).
-
D.
hasTraditionalColors
chosen
Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
-
E.
inspiredByClubColorsOf
Indicates that something derives its design, appearance, or theme from the colors associated with a particular club.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:47 p.m.