Triple
T3323645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitzroy Football Club |
E69856
|
entity |
| Predicate | guernseyColors |
P19824
|
FINISHED |
| Object | maroon |
—
|
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: maroon | Statement: [Fitzroy Football Club, guernseyColors, maroon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guernseyColors Context triple: [Fitzroy Football Club, guernseyColors, maroon]
-
A.
mountainsJerseyColor
Indicates the color of the jersey worn by the leader of the mountains classification (best climber) in a cycling race.
-
B.
liveryColors
Indicates the specific set of colors used as the official or characteristic color scheme associated with an entity (such as a brand, organization, or vehicle).
-
C.
ribbonColours
Indicates that there is an association between an entity and one or more colours of ribbons related to it.
-
D.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
E.
jerseyColorPrimary
chosen
Indicates the main or dominant color used on an entity’s jersey or uniform.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13e6c288190805f8abcd3acc906 |
completed | March 8, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.