Triple
T33425309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selección femenina de fútbol de Ecuador |
E855958
|
entity |
| Predicate | uniformePrincipalColores |
P17891
|
FINISHED |
| Object | amarillo |
—
|
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: amarillo | Statement: [selección femenina de fútbol de Ecuador, uniformePrincipalColores, amarillo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uniformePrincipalColores Context triple: [selección femenina de fútbol de Ecuador, uniformePrincipalColores, amarillo]
-
A.
uniformAccentColor
Indicates that multiple elements share the same accent color, creating a consistent visual highlight across them.
-
B.
suitColor
Indicates that one entity has or is associated with a particular color of suit.
-
C.
usedUniformColor
Indicates that multiple entities share or employed the same uniform color in a given context.
-
D.
primaryColorPalette
chosen
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
E.
wearsUniformColor
Indicates that an entity regularly uses or is associated with a specific uniform color as part of its standard attire or dress code.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.