Triple
T3494403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of the Crown of Aragon with Catalan stripes |
E73814
|
entity |
| Predicate | colorPattern |
P28294
|
FINISHED |
| Object | four red stripes on yellow 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: four red stripes on yellow background | Statement: [Arms of the Crown of Aragon with Catalan stripes, colorPattern, four red stripes on yellow background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorPattern Context triple: [Arms of the Crown of Aragon with Catalan stripes, colorPattern, four red stripes on yellow background]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
shieldColorPattern
chosen
Indicates the color arrangement or design pattern present on a shield.
-
C.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
D.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
E.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbaebed881909d9cbc9c4c1f138f |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.