Triple
T1211217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faroese flag |
E26002
|
entity |
| Predicate | whiteColorSymbolism |
P129
|
FINISHED |
| Object | sea foam and purity |
—
|
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: sea foam and purity | Statement: [Faroese flag, whiteColorSymbolism, sea foam and purity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiteColorSymbolism Context triple: [Faroese flag, whiteColorSymbolism, sea foam and purity]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
C.
whiteStripeMeaning
Indicates that one entity has a white stripe pattern or marking that is significant or characteristic in the context of the relationship.
-
D.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
E.
whitePoint
Indicates the reference color point or standard white used as a basis for color measurements or calibration in a color space.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde581308190bbe30683bf6c48c3 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.