Triple
T16089332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard of the President of the Czech Republic |
E390319
|
entity |
| Predicate | borderPattern |
P38214
|
FINISHED |
| Object | red-white-blue tricolour flames |
—
|
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: red-white-blue tricolour flames | Statement: [Standard of the President of the Czech Republic, borderPattern, red-white-blue tricolour flames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderPattern Context triple: [Standard of the President of the Czech Republic, borderPattern, red-white-blue tricolour flames]
-
A.
borderColor
Indicates the color that forms the boundary or outline of an entity.
-
B.
borderText
Indicates that one entity is the textual content displayed along the border of another entity.
-
C.
borderArea
Indicates that an area lies along or near the boundary between two regions, countries, or territories.
-
D.
borderCharacteristic
chosen
Indicates that one entity specifies a property, feature, or quality of the border or boundary of another entity.
-
E.
sharesBorderType
Indicates that two entities are connected by a common boundary characterized by the same specified type of border (e.g., land, river, maritime).
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.