Triple
T24092513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the President of the Republic of Paraguay |
E596822
|
entity |
| Predicate | hasDiplomaticRole |
P2921
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Office of the President of the Republic of Paraguay, hasDiplomaticRole, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiplomaticRole Context triple: [Office of the President of the Republic of Paraguay, hasDiplomaticRole, yes]
-
A.
diplomaticRole
chosen
Indicates that an entity holds or has held an official diplomatic position or function in relation to another entity or context.
-
B.
typeOfDiplomaticRole
Indicates the specific kind or category of diplomatic position or function that an entity holds in relation to another.
-
C.
hasDiplomaticLevel
Indicates the degree or status of formal diplomatic relations that exists between two entities.
-
D.
hasDiplomaticMission
Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
-
E.
servedAsDiplomatIn
Indicates that a person held an official diplomatic role or position in a specified country, organization, or location.
- 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_69e288c548048190a5c1018da1166a21 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd20134881908b9ba6069a708a92 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:54 p.m.