Triple
T29290181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina vs Croatia (2018 FIFA World Cup Group D) |
E742638
|
entity |
| Predicate | ArgentinaKitColor |
P169310
|
FINISHED |
| Object | white and light blue |
—
|
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: white and light blue | Statement: [Argentina vs Croatia (2018 FIFA World Cup Group D), ArgentinaKitColor, white and light blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ArgentinaKitColor Context triple: [Argentina vs Croatia (2018 FIFA World Cup Group D), ArgentinaKitColor, white and light blue]
-
A.
associatedColorOfColoColo
Indicates that a specified color is associated with the Colo Colo entity (e.g., as its representative or identifying color).
-
B.
associatedColor_Peñarol
Indicates that a specified color is associated with the sports club Peñarol (e.g., as one of its official or representative colors).
-
C.
ScotlandKitColor
Indicates the color scheme used in Scotland’s kit or uniform.
-
D.
ArgentinaGoals
Indicates the number of goals scored by Argentina in a given match or context.
-
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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 28, 2026, 1:01 p.m.