Triple
T25380403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Guinea |
E631370
|
entity |
| Predicate | symbolismColorYellow |
P38848
|
FINISHED |
| Object | riches of the land |
—
|
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: riches of the land | Statement: [flag of Guinea, symbolismColorYellow, riches of the land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolismColorYellow Context triple: [flag of Guinea, symbolismColorYellow, riches of the land]
-
A.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
B.
primaryColorSymbolism
Indicates how a primary color is symbolically associated with particular meanings, emotions, or concepts in a given context.
-
C.
symbolismOfBlue
Indicates the symbolic meaning or thematic significance associated with the color blue in a given context.
-
D.
yellowRepresents
chosen
Indicates that the color yellow is used to symbolize, denote, or stand for a particular entity, concept, or state in a given context.
-
E.
symbolismOfWhite
Indicates the relationship in which the color white functions as a symbol conveying particular meanings, themes, or abstract concepts in a given context.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f55e5f1de481909f199ed638e0d9ab |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:46 p.m.