Triple
T16089344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard of the President of the Czech Republic |
E390319
|
entity |
| Predicate | flownToIndicate |
P121856
|
FINISHED |
| Object | President in residence |
—
|
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: President in residence | Statement: [Standard of the President of the Czech Republic, flownToIndicate, President in residence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flownToIndicate Context triple: [Standard of the President of the Czech Republic, flownToIndicate, President in residence]
-
A.
flownWhen
Indicates that one entity has been flown or transported at a specific time or under certain temporal conditions associated with another entity.
-
B.
flownAt
Indicates that an entity has traveled or been transported by air at a specified time, place, or condition.
-
C.
flownWith
Indicates that two entities have traveled together on the same flight or aircraft.
-
D.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
E.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.