Triple
T16089343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard of the President of the Czech Republic |
E390319
|
entity |
| Predicate | flownOver |
P121855
|
FINISHED |
| Object | official residence of the President of the Czech Republic |
—
|
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: official residence of the President of the Czech Republic | Statement: [Standard of the President of the Czech Republic, flownOver, official residence of the President of the Czech Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flownOver Context triple: [Standard of the President of the Czech Republic, flownOver, official residence of the President of the Czech Republic]
-
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.
isFlownOn
Indicates that an entity (such as a person or object) travels or is transported using a particular aircraft or airline as the means of flight.
-
E.
flownOn
Indicates that an entity has traveled as a passenger or crew member on a particular flight or aircraft.
- 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.