Triple
T22226638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjernen |
E549354
|
entity |
| Predicate | clubColoursReflected |
P147363
|
FINISHED |
| Object | black and white |
—
|
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: black and white | Statement: [Kjernen, clubColoursReflected, black and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubColoursReflected Context triple: [Kjernen, clubColoursReflected, black and white]
-
A.
clubColoursPattern
Indicates the pattern or design style used in a club’s official colours (e.g., stripes, hoops, solid).
-
B.
clubColorsDisplayed
Indicates that the colors associated with a club are being visibly shown or presented.
-
C.
clubColorsMeaning
Indicates the symbolic significance or intended message conveyed by a club’s official colors.
-
D.
ribbonColours
Indicates that there is an association between an entity and one or more colours of ribbons related 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. 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12befe38c8190b547586e41b099b1 |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e723f65c5c8190a0ee3c539e5d0767 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:37 p.m.