Triple
T21531908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguay vs Brazil (1950 FIFA World Cup) |
E531249
|
entity |
| Predicate | UruguayKitColor |
P3503
|
FINISHED |
| Object | light blue shirts |
—
|
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: light blue shirts | Statement: [Uruguay vs Brazil (1950 FIFA World Cup), UruguayKitColor, light blue shirts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UruguayKitColor Context triple: [Uruguay vs Brazil (1950 FIFA World Cup), UruguayKitColor, light blue shirts]
-
A.
inspiredByClubColorsOf
Indicates that something derives its design, appearance, or theme from the colors associated with a particular club.
-
B.
associatedColorOfColoColo
Indicates that a specified color is associated with the Colo Colo entity (e.g., as its representative or identifying color).
-
C.
suitColor
Indicates that one entity has or is associated with a particular color of suit.
-
D.
clubColorsDisplayed
Indicates that the colors associated with a club are being visibly shown or presented.
-
E.
awayUniformColorPrimary
chosen
Indicates the primary color used for an entity’s away (non-home) 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.