Triple
T4849480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Palace F.C. |
E108375
|
entity |
| Predicate | formerColorScheme |
P59926
|
FINISHED |
| Object | claret and 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: claret and blue | Statement: [Crystal Palace F.C., formerColorScheme, claret and blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerColorScheme Context triple: [Crystal Palace F.C., formerColorScheme, claret and blue]
-
A.
hasColourScheme
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
originalColors
Indicates that something retains or is associated with its initial, unaltered set of colors.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
officialColor
Indicates the color that is formally designated or recognized as the official one for an entity.
-
E.
façadeColorScheme
Indicates the relationship specifying the color arrangement or palette applied to the exterior façade of a structure.
- F. None of above. chosen
Provenance (4 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.