Triple
T11667629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trucolor |
E277293
|
entity |
| Predicate | colorRendering |
P42964
|
FINISHED |
| Object | saturated hues |
—
|
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: saturated hues | Statement: [Trucolor, colorRendering, saturated hues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorRendering Context triple: [Trucolor, colorRendering, saturated hues]
-
A.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
-
B.
colorSystem
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
C.
colorDisplay
chosen
Indicates that one entity presents, shows, or renders the color associated with another entity.
-
D.
color work
Indicates that an entity applies or adds color to another entity, typically as part of a creative or finishing process.
-
E.
colorTheory
Indicates a relationship where principles or concepts about how colors interact, combine, or affect perception are applied or referenced between entities.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.