Triple
T9400745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AC |
E226460
|
entity |
| Predicate | plateColorScheme |
P29272
|
FINISHED |
| Object | black characters on white background |
—
|
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: black characters on white background | Statement: [AC, plateColorScheme, black characters on white background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plateColorScheme Context triple: [AC, plateColorScheme, black characters on white background]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
D.
formerColorScheme
Indicates that an entity previously used a particular color scheme but no longer does so.
-
E.
bandColor
Indicates the color associated with a band, such as a stripe, ring, or marking on an object.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5157d66c819094c18f680c7093f7 |
completed | April 1, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.