Triple
T28089354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Standard of Argentina |
E709911
|
entity |
| Predicate | fieldColorsOrder |
P8395
|
FINISHED |
| Object | light blue–white–light blue |
—
|
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: light blue–white–light blue | Statement: [Presidential Standard of Argentina, fieldColorsOrder, light blue–white–light blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldColorsOrder Context triple: [Presidential Standard of Argentina, fieldColorsOrder, light blue–white–light blue]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
hasFieldColor
chosen
Indicates that an entity possesses a field whose color is specified by another entity or value.
-
C.
colorStates
Indicates that an entity has or is associated with one or more specific color conditions or statuses.
-
D.
colorFieldCharacteristic
Indicates that a field or attribute is characterized or distinguished by a specific color.
-
E.
coloredBy
Indicates that one entity serves as the source, agent, or cause of the color or coloration of 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 8:57 p.m.