Triple
T5607566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smarties |
E147269
|
entity |
| Predicate | usesColoring |
P21943
|
FINISHED |
| Object | natural food colorings |
—
|
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: natural food colorings | Statement: [Smarties, usesColoring, natural food colorings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesColoring Context triple: [Smarties, usesColoring, natural food colorings]
-
A.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
B.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
C.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
D.
isColorCharged
Indicates that an entity possesses color charge, meaning it carries the type of charge associated with the strong nuclear interaction in quantum chromodynamics.
-
E.
hasColorProcess
chosen
Indicates a relationship where an entity is associated with a specific method or process used to apply, change, or manage its 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fd1b2c81908da154f7e11b90d8 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.