Triple
T10237370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thessaloniki derby |
E243498
|
entity |
| Predicate | notableClubColor_Aris |
P4834
|
FINISHED |
| Object | yellow |
—
|
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: yellow | Statement: [Thessaloniki derby, notableClubColor_Aris, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableClubColor_Aris Context triple: [Thessaloniki derby, notableClubColor_Aris, yellow]
-
A.
mainColorOfAnotherClub
Indicates that one club’s primary color is the same as, or serves as, the main identifying color for another club.
-
B.
inspiredByClubColorsOf
Indicates that something derives its design, appearance, or theme from the colors associated with a particular club.
-
C.
clubColorsChosenBy
Indicates that a set of club colors has been selected or determined by a particular agent or entity.
-
D.
supportersColor
Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
-
E.
teamColor
chosen
Indicates the association between a team and the color that represents or identifies it.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:22 a.m.