Triple
T21593774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Kazakhstan |
E532843
|
entity |
| Predicate | ornamentRepresents |
P38238
|
FINISHED |
| Object | traditional Kazakh art and culture |
—
|
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: traditional Kazakh art and culture | Statement: [Flag of Kazakhstan, ornamentRepresents, traditional Kazakh art and culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ornamentRepresents Context triple: [Flag of Kazakhstan, ornamentRepresents, traditional Kazakh art and culture]
-
A.
ornamentsRepresent
chosen
Indicates that certain ornaments symbolically stand for, depict, or convey the meaning of something else.
-
B.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
C.
notableOrnamental
Indicates that something is recognized as a particularly significant or distinguished example of ornamental decoration or design.
-
D.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
E.
adornedWith
Indicates that one entity is decorated, embellished, or ornamented by 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadf6e608190b42b26ea22c76ec6 |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:32 p.m.