Triple
T6741096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loko |
E154081
|
entity |
| Predicate | usesAlternateColors |
P48980
|
FINISHED |
| Object | blue accents |
—
|
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 accents | Statement: [Loko, usesAlternateColors, blue accents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAlternateColors Context triple: [Loko, usesAlternateColors, blue accents]
-
A.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
B.
kitColorAlternative
chosen
Indicates an alternative or secondary color used in a kit (e.g., sports uniform or equipment set) distinct from the primary kit color.
-
C.
usedUniformColor
Indicates that multiple entities share or employed the same uniform color in a given context.
-
D.
hasCrossColor
Indicates that an entity possesses a cross-shaped marking or pattern of a specified color.
-
E.
hasComplementaryColor
Indicates that one color is the complementary (i.e., opposite on the color wheel, providing maximum contrast) counterpart of another color.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18971e081908372cd25d52a11bd |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:10 p.m.