Triple
T29773061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Canaries |
E755299
|
entity |
| Predicate | colorCombination |
P108608
|
FINISHED |
| Object | yellow and 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: yellow and green | Statement: [The Canaries, colorCombination, yellow and green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorCombination Context triple: [The Canaries, colorCombination, yellow and green]
-
A.
styleCombination
Indicates a relationship where multiple styles are combined or coordinated to form a unified stylistic configuration or presentation.
-
B.
colorCompatibility
chosen
Indicates whether the colors associated with the entities can be used together harmoniously or without conflict.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
E.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 28, 2026, 8:44 p.m.