Triple
T23156436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Derby |
E578450
|
entity |
| Predicate | hasClubColorContrast |
P107982
|
FINISHED |
| Object | blue of Gamba Osaka |
—
|
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: blue of Gamba Osaka | Statement: [Osaka Derby, hasClubColorContrast, blue of Gamba Osaka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClubColorContrast Context triple: [Osaka Derby, hasClubColorContrast, blue of Gamba Osaka]
-
A.
hasTeamColorContrast
chosen
Indicates that there is a sufficient visual contrast between the colors associated with a team and another relevant color set (such as opponents, background, or interface elements).
-
B.
hasClubColor
Indicates that a club or team is associated with a specific color or set of colors used to represent it.
-
C.
primaryClubColorsVisible
Indicates that the primary colors associated with a club are clearly visible or prominently displayed.
-
D.
containsColor
Indicates that one entity includes or exhibits the color specified by another entity.
-
E.
hasStripeColor
Indicates that an entity possesses stripes of a specified color.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efd598c81908fba9d583e30660e |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.