Triple
T22045281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Uzbekistan |
E544743
|
entity |
| Predicate | whiteStripeSymbolizes |
P4986
|
FINISHED |
| Object | peace 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: peace and purity | Statement: [Flag of Uzbekistan, whiteStripeSymbolizes, peace and purity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiteStripeSymbolizes Context triple: [Flag of Uzbekistan, whiteStripeSymbolizes, peace and purity]
-
A.
whiteStripeMeaning
chosen
Indicates that one entity has a white stripe pattern or marking that is significant or characteristic in the context of the relationship.
-
B.
goldStripeSymbolizes
Indicates that a gold stripe is used as a symbol representing a particular quality, status, achievement, or meaning in relation to something else.
-
C.
blackStripeSymbolism
Indicates the symbolic meaning or thematic significance associated with a black stripe in a given context.
-
D.
greenStripeMeaning
Indicates that something has a stripe colored green or marked with green striping.
-
E.
redStripeMeaning
Indicates that something has a red-colored stripe and conveys the meaning, symbolism, or significance associated with that red stripe.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282e647481908e054b3ad19e2c15 |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.