Triple
T30090193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Melbourne Football Club |
E764707
|
entity |
| Predicate | primaryJumperColors |
P192747
|
FINISHED |
| Object | blue and white vertical stripes |
—
|
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 and white vertical stripes | Statement: [North Melbourne Football Club, primaryJumperColors, blue and white vertical stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryJumperColors Context triple: [North Melbourne Football Club, primaryJumperColors, blue and white vertical stripes]
-
A.
primaryClubColors
chosen
Indicates the main official colors associated with a club, typically used for its primary identity and uniforms.
-
B.
jerseyColorPrimary
Indicates the main or dominant color used on an entity’s jersey or uniform.
-
C.
primaryColorPalette
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
D.
clubColorsSecondary
Indicates the secondary or alternate set of colors associated with a club, typically used alongside its primary colors.
-
E.
homeUniformColorPrimary
Indicates the primary color used for an entity’s home uniform in a given context.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01c41dfe248190a68f4a262591b30f |
completed | May 11, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_6a01c375d14c8190a15bfa12623588a9 |
completed | May 11, 2026, 11:54 a.m. |
Created at: April 29, 2026, 7:05 p.m.