Triple
T2272795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guatemala national football team |
E50697
|
entity |
| Predicate | homeKitTraditionalColors |
P26104
|
FINISHED |
| Object | blue 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: blue and white | Statement: [Guatemala national football team, homeKitTraditionalColors, blue and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeKitTraditionalColors Context triple: [Guatemala national football team, homeKitTraditionalColors, blue and white]
-
A.
traditionalHomeColor
Indicates the customary or historically typical color associated with a home in a given cultural or regional tradition.
-
B.
kitColorsHome
chosen
Indicates the colors used for a team's primary (home) kit or uniform.
-
C.
hasTraditionalColors
Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
-
D.
traditionalHomeKitPattern
Indicates that an entity follows a conventional or historically established pattern or style associated with traditional home kits or household arrangements.
-
E.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.