Triple
T29649729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senegal vs Colombia (2018 FIFA World Cup) |
E756101
|
entity |
| Predicate | senegalKitColor |
P65024
|
FINISHED |
| Object | green |
—
|
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: green | Statement: [Senegal vs Colombia (2018 FIFA World Cup), senegalKitColor, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senegalKitColor Context triple: [Senegal vs Colombia (2018 FIFA World Cup), senegalKitColor, green]
-
A.
describesKitColor
Indicates that an entity specifies or provides information about the color of a kit.
-
B.
usesPanAfricanColors
Indicates that one entity employs or incorporates the Pan-African colors (typically red, black, green, and sometimes yellow) in relation to another entity.
-
C.
suitColor
Indicates that one entity has or is associated with a particular color of suit.
-
D.
traditionalKitColor
chosen
Indicates the customary or historically established color scheme used for an entity’s standard or primary kit or uniform.
-
E.
ensignColor
Indicates the color or colors displayed on an entity’s ensign (flag or banner).
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66f2329b08190b0ce42740644ecf6 |
completed | May 2, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 6:51 p.m.