Triple
T1211218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faroese flag |
E26002
|
entity |
| Predicate | redColorSymbolism |
P4987
|
FINISHED |
| Object | Christian cross and traditional Nordic colors |
—
|
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: Christian cross and traditional Nordic colors | Statement: [Faroese flag, redColorSymbolism, Christian cross and traditional Nordic colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redColorSymbolism Context triple: [Faroese flag, redColorSymbolism, Christian cross and traditional Nordic colors]
-
A.
redStripeMeaning
chosen
Indicates that something has a red-colored stripe and conveys the meaning, symbolism, or significance associated with that red stripe.
-
B.
redPrimary_x
Indicates that the subject has red as its primary or dominant color.
-
C.
redPrimary_y
Indicates that the entity has red as its primary or dominant color.
-
D.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
E.
colors
Indicates that one entity assigns, describes, or provides the color or colors 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_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.