Triple
T22045282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Uzbekistan |
E544743
|
entity |
| Predicate | blueStripeSymbolizes |
P40680
|
FINISHED |
| Object | sky and water |
—
|
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: sky and water | Statement: [Flag of Uzbekistan, blueStripeSymbolizes, sky and water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blueStripeSymbolizes Context triple: [Flag of Uzbekistan, blueStripeSymbolizes, sky and water]
-
A.
blueStripeMeaning
chosen
Indicates that something has the meaning, symbolism, or significance associated specifically with a blue stripe.
-
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.
greenStripeRepresents
Indicates that a green stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
E.
blueStripeProportion
Indicates the proportion of an entity’s surface or area that is covered by a blue stripe relative to its total extent.
- 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.