Triple
T25572188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Bashkortostan |
E641003
|
entity |
| Predicate | petalSymbolism |
P24024
|
FINISHED |
| Object | seven Bashkir tribes |
—
|
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: seven Bashkir tribes | Statement: [Flag of Bashkortostan, petalSymbolism, seven Bashkir tribes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: petalSymbolism Context triple: [Flag of Bashkortostan, petalSymbolism, seven Bashkir tribes]
-
A.
flowerSymbolMeaning
chosen
Indicates that a particular flower is used to represent or convey a specific symbolic meaning or message.
-
B.
plantSymbolism
Indicates that a plant is associated with a particular symbolic meaning, concept, or value.
-
C.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
D.
petalShape
Indicates the characteristic form or outline of a flower’s petals in relation to the whole blossom.
-
E.
flowerType
Indicates the specific kind or category of flower associated with an 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f92daf3081908fa635f62ace1758 |
completed | May 2, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:58 p.m.